People

Principal Investigator

Professor Michael Inouye    email (cambridge) | email (baker) | twitter @minouye271  |   @mikeinouye.bsky.social


Current roles2024 - Turing Fellow, The Alan Turing Institute2023 - Professor of Systems Genomics & Population Health, Dept of Public Health & Primary Care, University of Cambridge2023 -                  Director of Data Sciences (Clinical), Baker Heart & Diabetes Institute2023 - Stream Lead, Molecular Informatic Tools and Resources, MTHR Programme, Health Data Research UK2022 -                  Theme Lead, Data Science and Population Health, NIHR Cambridge Biomedical Research Centre 2020 - Munz Chair of Cardiovascular Prediction & Prevention, Baker Heart & Diabetes Institute2018 -                  Director, Cambridge Baker Systems Genomics Initiative
Previous2021 - 2023     Director of Research, Dept of Public Health & Primary Care, University of Cambridge2018 - 2021     Turing Fellow, The Alan Turing Institute2018 - 2021     Principal Researcher, Dept of Public Health & Primary Care, University of Cambridge2017 - 2019     Principal Research Fellow, Baker Heart & Diabetes Institute2015 - 2017     Co-Founder / Deputy Director, Centre for Systems Genomics, University of Melbourne2014 - 2018     NHMRC RD Wright Fellow2014 - 2018     National Heart Foundation Future Leader Fellow2012 - 2017     Senior Research Fellow - Principal Research Fellow (Associate Professor), University of Melbourne2010 - 2014     NHMRC Peter Doherty Fellow2010 - 2012     Postdoctoral Fellow, Walter and Eliza Hall Institute of Medical Research2005 - 2010     Researcher / Genome Analyst, Wellcome Trust Sanger Institute
Education2010                     PhD       Computational Genomics, Leiden University / Wellcome Trust Sanger Institute                                                           Mentors: Leena Peltonen & Gertjan van Ommen                                                           Thesis: Analysis & algorithms in human disease genomics2005                     MSc        Biochemistry & Molecular Biology, University of California Los Angeles2004                     BSc         Biochemistry, University of Washington2004                     BSc         Economics, University of Washington

Biography

Mike grew up in the Seattle area before beginning undergraduate study in 1999 at the University of Washington, where he graduated with BSc's in biochemistry and economics. As a 19 year-old, Mike began analyzing data from the draft Human Genome Project, spending several years doing research in gene finding and protein structure prediction. He continued studying protein structure as a graduate student at UCLA, but returned to genomics in 2005 when he moved to the Wellcome Trust Sanger Institute (Cambridge, UK). While at Sanger, Mike completed his PhD with Prof Leena Peltonen and Prof Gert-Jan van Ommen and was heavily involved in the analytics for the first wave of genome-wide association studies as well as large-scale studies integrating multi-omic data. After a postdoc at the Walter and Eliza Hall Institute (Melbourne, AU), he was recruited to the faculty at the University of Melbourne in 2012 where he built a research program in systems genomics with a focus on clinical and public health applications. In 2017, Mike was recruited to the Baker Institute and the University of Cambridge to set up a lab spanning Australia and the UK that focuses on core areas of systems genomics, including polygenic risk scores, integrated analysis of multi-omics data and development of analytic tools.

Disclosures

Trustee of the Public Health Genomics (PHG) Foundation. Scientific Advisory Board of Open Targets. Research collaborations with AstraZeneca, Nightingale Health, and Pfizer.

Research Staff

Dr Chief Ben-Eghan    (University of Cambridge)

Chief joined the Inouye lab as a post-doctoral research associate in statistical genetics. He received his MSc in Biotechnology from the University of Greenwich and worked with the H3Africa Chronic Kidney Disease research node (Ghana) investigating APOL1 nephropathy in continental African populations. He was a PhD student at the McGill University, Department of Human Genetics, under the supervision of Prof. Mark Lathrop and Prof. Audrey Grant. His doctoral work focused on analysing complex traits with a focus on enhancing GWAS discovery through diverse population inquiry in large multi-ethnic cohorts. While there, he worked on adapting the accountability for reasonableness framework in a genomic context, to help address the ethical and statistical challenges in designing more inclusive studies to promote equity in data use. He also worked on developing a multi-ancestry, multi-phenotype fine-mapping framework for the asthma chr17q12-21 locus. His current work focusses on developing polygenic risk scores for cardiometabolic diseases (and related traits) and testing their portability across diverse populations, aimed towards minimising health disparities in underrepresented populations.

Dr Emma Bonglack    (University of Cambridge)

Emmanuela completed her PhD with Micah Luftig at Duke University, developing a novel targeted therapeutic strategy to treat lymphomas caused by EBV related viruses, which often have limited options for treatment in the clinic. As a Schmidt Science Fellow in Mike Inouye’s lab, she is crossing disciplines to integrate multi-omics and advanced statistical methods to study the role of iron-deficiency anemia in cardiometabolic diseases, in ancestrally diverse global populations. Emmanuela’s interest in global health developed during her PhD and as a result of her growing up in Cameroon, where the negative impacts of poor health infrastructure and limited resources could be seen all around. Given the growing burden of chronic diseases and the high prevalence of iron deficiency in LMICs like Cameroon, Emmanuela hopes her research will advance our understanding of the unique factors that drive chronic/cardiometabolic diseases in diverse but underrepresented regions/populations.

Dr Malathi Dona    (Baker Institute)

Malathi received her PhD in Statistics at La Trobe University, Melbourne. During her PhD studies, she developed novel statistical methods to analyse large-scale omics data incorporating known biological pathways and network information to discover disease-associated genes. In 2019, Malathi joined the Cardiac Cellular Systems Lab at the Baker Heart and Diabetes Institute as a research fellow to apply her skills in cardio vascular research. Her research focused on the development of advanced bioinformatics pipelines tailored for the study of intercellular communication networks within complex tissues such as the heart, aorta, and liver to better understand cellular changes that contribute to the disease development. In 2024, Malathi transitioned to the Inouye Lab, taking on the role of a Domain Bioinformatician. In this capacity, she utilizes her proficiency in single-cell transcriptomics integrating with genomics to gain a deeper understanding of cardio vascular disease development.

Dr Carles Foguet   (University of Cambridge)

Carles received his bachelor's degree in Biochemistry from the University of Barcelona, where he developed an interest in Systems Biology. To pursue this interest, he enrolled in the Biohealth Computing Erasmus Mundus master program, enabling him to take courses in bioinformatics at the University of Turin and to develop new modelling tools at the Joseph Fourier University. Next, he pursued a Ph.D. in Biotechnology at the University of Barcelona. During his Ph.D., he developed new approaches to model metabolism at a genome-scale by integrating multiple layers of omics data and an algorithm to integrate transcriptomics with stable isotope-resolved metabolomics and contributed to the PhenoMeNal project. He joined the Cambridge node of the Inouye lab in April 2021, where he works on the analysis of genomic and multi-omic datasets across HDRUK.

Joel Gibson   (University of Cambridge)

Joel grew up in Melbourne, Australia, completing his undergraduate studies at the University of Melbourne. Following on from this, he became involved in research activities at the University, where his work with the Savige Laboratory focused on the genetics of inherited kidney disease. In 2022, Joel moved to the UK to pursue a Master's degree in genomic medicine at the University of Cambridge, where his dissertation examined the clinical utility of polygenic risk scores for the prediction of atrial fibrillation. Joel joined the Inouye Lab in Nov 2023 as a bioinformatician to work on the Polygenic Score Catalog.

Laurent Gil   (Wellcome Sanger Institute / University of Cambridge)

Laurent studied Biology and Bioinformatics in Bordeaux (France) where he obtained a Masters degree in Bioinformatics. After few years working at the University of Bordeaux as Software developer, he moved to Cambridge (UK) to join the Ensembl Project (Variation team) at EMBL-EBI to work on many aspects of this project: data import, data storage, databases, web interface, tools, training. In addition he was working on the Locus Reference Genomic (LRG) Project. In 2019, he joined HDR-UK to work on the PGS Catalog Project as software developer and then started to work on OmicsPred in 2023.

Dr William Ho   (Baker Institute)

William grew up immersed in the vibrancy of Hong Kong, where his passion for medical and agricultural biology took root. Pursuing this passion, he moved to Germany for his PhD and solidified his expertise in Molecular Biotechnology (BSc First Class Honours; MPhil distinction). There, he met with Prof. Detlef Weigel, an international pioneer in the plant-pan genomics researches, whom inspired him to develop strong interest in bioinformatics and genomics. After obtaining his PhD (magna cum laude) from the Max Planck Institute for Developmental Biology, William decided to begin his post-doctorate in Australia as a hybrid researcher between wet- and dry-lab. With over 20 years of experience in the field, William is proficient in next-generation sequencing and omics data analyses, contributing significant insights into functional, cellular and population genomics, epigenomics, and multi-omics integration in transcriptomics and metabolomics. William has honed his skills in various academic, commercial and institutional settings, including CSIRO, Metabolomics Australia, Melbourne Integrative Genomics, Walter and Eliza Hall Institute, and Peter MacCallum Cancer Center in Australia. Currently, William is making strides as a Domain Bioinformatician at the System Genomics Center of Inouye Lab in Melbourne. His current research interest is focused on epidemiology and precision medicine from the multi-omics perspectives.

Dr Xilin Jiang   (University of Cambridge)

I am a statistical geneticist working on the genetic architecture of complex diseases and its implications in clinical practice. Specifically, my research focuses on constructing risk factors using many variables that each have a small effect on diseases. The variables include genotype data, proteomic data, gene expression data and hospitalisation data (EHR). I like to think of disease as a stochastic process and disease risk on the “liability” scale. In statistical terminology, my research involves Bayesian inference for high dimensional data, longitudinal analysis and causal inference. I got my DPhil in Genomic Medicine and Statistics from Oxford University, funded by a Rhodes Scholarship and a Wellcome Trust studentship. I delivered the scholar address (name for a student speech delivered at the scholarship graduating ceremony) for the Rhodes scholar class of 2017. At the beginning of Pandemic, I worked as a consultant to the Gates Foundation and China CDC. Before my DPhil I worked on neural imaging modelling, analysing both structure and functional MRI data. I received my BSc from Fudan University.

Dr Danyao Jin   (University of Oxford / University of Cambridge)

Danyao joined the Inouye Lab in Nov 2023 as a visiting postdoctoral researcher and is working on the development and application of new genetic scores as well as transferability analyses in admixed ancestry population. Meanwhile, she is a HDR UK early career research fellow at the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, and is specifically focusing on the Mexico City Prospective Study. Before that, Danyao completed her PhD in population health at University of Oxford, and conducted the project on metabolomics and coronary heart disease risk using data from the UK Biobank. She also holds a Master of Science degree in epidemiology at Harvard University and a Bachelor of Medicine degree at Peking University.

Dr Martin Kelemen    (University of Cambridge)

Martin received his BSc at University College London where he studied Human Genetics with a final year project focusing on genetic risk prediction and writing extensions for LDAK, supervised by the method's author Doug Speed. He then completed his PhD on the Mathematical Genomics and Medicine programme, supervised jointly by Carl Anderson at the Wellcome Trust Sanger Institute and by Chris Wallace at the University of Cambridge. Martin's PhD project was centred on finding evidence for epistasis using deep learning methods and improving the accuracy of polygenic risk scores by exploiting shared genetic effects between related diseases. He joined the unit as a postdoc to lead a project on building a risk model for abdominal aortic aneurysm that integrates polygenic scores and conventional risk factors. His current research focuses on exploring the effect of the environment and genetic variation on the transferability of polygenic risk scores across ancestries, working jointly with Mike and Prof Adam Butterworth (Public Health and Primary Care). In his free time Martin enjoys life drawing and listening to trashy Italo disco hits from the 80's.

Dr Loïc Lannelongue   (University of Cambridge)

Loïc is now a postdoctoral research associate in biomedical data science. Previously, he was as a PhD student in the MRC Doctoral Programme (Inouye Lab) at the University of Cambridge studying both green computing and protein-protein interaction networks. Before that, he was trained in Paris at Lycée Saint-Louis and ENSAE ParisTech where he earned a BSc and a french Diplôme d’ingénieur (MSc) studying mainly mathematics and statistics, but also a bit of theoretical physics and economics. Then he completed an MSc in Statistics and Machine Learning at the University of Oxford in 2018. His Master’s thesis focused on developing a Bayesian tree-based algorithm to predict the length of hospital stays for patients.

Dr Yang Liu   (University of Cambridge)

Yang was born and raised in Shandong, China and moved to the U.S. during high school.  She received her Bachelors of Science in Biomedical Engineering with a concentration on electronic & computer engineering from Georgia Institute of Technology, Atlanta, USA. Then she completed her Master of Bioinformatics at the University of Queensland, Brisbane, Australia, where she developed an interest in genomic risk prediction of complex human diseases. At Melbourne University, she studied for her PhD in the Inouye Lab using machine learning for prediction and classification of diseases based on genotype and phenotype data. She has continued her studies as a postdoc in the lab at the Cambridge node.

Dr Douglas Loesch    (AstraZeneca / University of Cambridge)

Doug grew up near Philadelphia in the US. He worked as an educator for 8 years with a focus on students with special needs. He then pursued a research career at the University of Maryland (Baltimore), earning a PhD in human genetics and epidemiology under the guidance of Prof Timothy O’Connor. His research has primarily focused on Parkinson disease in South America and has participated in several collaborative initiatives that sought to improve diversity in genomics research. He is now a postdoctoral fellow at the Centre for Genomics Research at AstraZeneca and a visiting research at the Cambridge University. His interests include exploring how genomics can inform clinical care and what we can do to address issues pertaining to equity in biomedical research, especially with regards statistical genetics. 

Dr Guillaume Méric   (Group Leader, Baker Institute)

Read more about me here. My research interests are broad and revolve around the ecology and evolution of environmental and pathogenic bacteria in relation to their human or animal hosts. I study different levels of these host-pathogen/host-bacterial interactions, mainly with a microbial population biology angle: how the ecology and environment can impact on bacterial and microbial population evolution, how pathogens emerge from background asymptomatic carried populations, and how microbes jump and transmit between various hosts. For example, I try to understand the impact of host factors (ecology, physiology or immunity) on the evolution and adaptation of the bacterial species they carry. In the Inouye Lab, I'm working on pathogen and antimicrobial resistance gene detection from shotgun metagenomics data and how these relate to host phenotypes (human genetics, metabolomics, incident disease etc). I collaborate closely with Kathryn Holt's lab at the Bio21 Institute.

Dr Hasanga Manikpurage   (University of Cambridge)

Hasanga completed a bachelor's degree in Life Sciences (2014-2016) and a master's degree in Cell Biology, Physiology and Pathologies (2016-2018) at Université Paris Cité (previously known as Paris VII Diderot). With his training, Hasanga was predestined for a career as an experimental biologist. During his Masters in the laboratory of Dr Xavier Norel, he studied the involvement of prostaglandins in the regulation of vascular tone in human coronary arteries, particularly in the context of coronary artery disease. In 2018, Hasanga decided to leave France and move to Quebec (Canada) to start a PhD programme, this time using only in silico methodologies. He joined Dr. Sébastien Thériault's team and was co-directed by Dr. Benoit Arsenault. During his thesis, Hasanga focused mainly on the genetic determinants of coronary heart disease and various cardiovascular risk factors in order to develop polygenic risk scores. His thesis support the value of these genetic scores in quantifying the heritable risk of coronary artery disease, not necessarily captured by conventional clinical scores. The use of polygenic risk scores will enable identifying individuals at high genetic risk of complexe diseases. However, further efforts are needed to eventually use them clinically in the general population and to improve their predictive performances. By joining the Cambridge node of the Inouye Lab, Hasanga hopes to continue his efforts to address these challenges.

Dr Elodie Persyn   (University of Cambridge)

Dr Elodie Persyn studied agricultural engineering in Rennes (France) and obtained a Masters degree in Cellular and Molecular Biology and in Applied Statistics. She did a PhD in Nantes (France) with Richard Redon, Christian Dina and Lise Bellanger on rare variant association studies. She developed research interests in genetic epidemiology and population genetics with the comparison of statistical methods and the application to complex traits. After her PhD, she moved to the UK to join Cathryn Lewis’ team in King’s College London as a post-doctoral researcher. In collaboration with Hugh Markus from the University of Cambridge, she studied the genetics of brain imaging biomarkers of small vessel disease through the analysis of UK Biobank data. Currently, in the Inouye Lab, she is investigating the integration of multi-omics data from the INTERVAL study (https://www.intervalstudy.org.uk/).

Dr Scott Ritchie   (Senior Research Associate, University of Cambridge)

Scott grew up in Melbourne before spending several years in the UK and US. He returned to Melbourne to begin undergraduate study at the University of Melbourne in 2008 graduating with a Bachelor in Computer Science in 2010. During his undergraduate he became interested in machine learning and data analysis, and was introduced to Bioinformatics in his final year. This led him to continue with postgraduate study at the University of Melbourne in Bioinformatics, graduating with distinction with an MSc in 2012. During this time he joined the Inouye Lab where he was introduced to systems biology, exploring different methods for constructing gene co-expression networks. In 2017, he completed his PhD also in the Inouye Lab. His current research interests include network analysis, gene expression data, and data visualisation.

Dr Manika Singh   (Baker Institute)

Manika received her B.Sc. degree in Genetics, Biochemistry, and Zoology from Bangalore University and her M.Sc. degree in Bioinformatics from Sikkim Manipal University, India. She received a Bioinformatics National Certification (BINC) fellowship from the department of Biotechnology (DBT), India, and joined as a junior research fellow at the Institute of Bioinformatics, Bangalore. During this time, she learned the analysis of next-generation sequencing datasets and worked on various genomics and proteomics projects. Next, she received a CSIRO data61 scholarship to pursue a Ph.D. at the Queensland University of Technology, Brisbane. During her Ph.D., she developed a novel pipeline for isoform-level multi-omics integration in a mouse model of behaviour. In 2022, she joined the Inouye lab to work on the analysis of genomics and muti-omics datasets. 

Dr Yu Xu   (Senior Research Associate, University of Cambridge)

Yu received his Ph.D. degree in Intelligence Systems at Trinity College Dublin, where he continued working as a research fellow till late 2018. Yu’s Ph.D. research tackled the problem of user expertise inference on social media which aimed to predict the online user’s expertise information via exploiting machine learning techniques, with a focus on the application of probabilistic graph models and multi-task learning algorithms. Prior to that, Yu earned his M.S. degree in Computer Science at Hunan University of Science and Technology, China in 2013. His M.S. research developed novel collaborative filtering and optimal path search algorithms to address the Web service recommendation problem. As a post-doctoral researcher in Inouye Lab, Yu is exploring machine learning and deep learning techniques to address genomic prediction problems including genotype/phenotype imputations, polygenic risk score predictions on human diseases, etc. 

Florent Yvon  (University of Cambridge)

TBD

PhD students

Claire Coffey   (University of Cambridge)

Claire grew up in Birmingham, UK, and completed her BSc in Computer Science at the University of Birmingham. As part of this degree, she also studied at the University of British Columbia and the University of Waterloo. Wanting to apply her interest in artificial intelligence to real-world problems, Claire worked as an AI research and development consultant at a start-up where she was an inventor on 2 patents. She then completed her MPhil in Advanced Computer Science at the University of Cambridge, for which she was awarded the DeepMind Cambridge Scholarship, and her research focused on analysing the fairness of machine learning algorithms (supervised by Neil Lawrence). Claire is now working on her PhD in Health Data Science at Inouye Lab, with a studentship from Health Data Research UK, The Alan Turing Institute, and the Wellcome Trust. Her PhD research focuses on investigating, quantifying, and improving the fairness of medical risk prediction algorithms to ensure these are not discriminating against minority subgroups of society. She is supervised by Mike Inouye, Angela Wood, and Sam Lambert.

Alex Tokolyi   (University of Cambridge / Wellcome Sanger Institute) 

Alex grew up in Melbourne, Australia, completing undergraduate degrees at Monash University in Computer Science and Science (Microbiology and Molecular biology). During this he had the opportunity through a CSL-funded UROP internship to pursue bioinformatics research at the Australian Regenerative Medicine Institute, creating systems to explore spatial transcriptomic data. Alex then joined the lab of Kathryn Holt at the Bio21 Institute of the University of Melbourne for a year-long honours project on bacterial genomics, analysing how plasmids share genes between each other and different bacterial species. He then joined the Inouye lab to analyse the network interactions of genomic and environmental data from asthma patients, before beginning his PhD at the Sanger Institute in the University of Cambridge. Currently Alex is supervised by Emma Davenport and Mike Inouye, and looks at the variation in the human response to immune conditions such as sepsis, and the interaction of this with resident microbes.

Zhengyang Zhu   (University of Cambridge)

Yang was born in China and moved to Singapore during secondary and high school. He completed his BSc in Biomedical Sciences and MSc in Epidemiology at Imperial College London. His Masters' project was to investigate renal safety profiles of HIV-1 patients after switching drug regimen in collaboration with Gilead Sciences Inc., which spurred his interest in data science in the context of infectious diseases. His current research focusses on the application of GWAS in infectious diseases, particularly infections with known comorbidities.

Masters students

Will Marella   (University of Cambridge)

Will grew up in New Hampshire, USA. In high school, he presented at student research conferences in molecular biology and interned at the Dimitroff Lab at Harvard Medical School where he studied glycobiology and immunology. He received a BA in Biology from Brown University where he served as President of the Brown Meditation Community and during which he worked at the Chang Lab at Dartmouth College, investigating the effect of ACAT inhibitors on Alzheimer’s and Niemann-Pick Type C. At Cambridge, he is pursuing an MPhil in Population Health Sciences, specializing in Health Data Science. He is supervised by Xilin Jiang, implementing variational inference techniques to probabilistic topic models to help identify multimorbidities and disease subtypes.

Catherine Michelutti   (University of Cambridge)

Catherine grew up in Washington, USA. She completed her undergraduate education at the University of Pennsylvania and received a BSE in Bioengineering and a BS in Economics (The Wharton School). At Penn, Catherine conducted research projects on various topics including machine learning to predict lung transplant outcomes, and mental health care infrastructure and policy. Funded respectively by the Penn Undergraduate Research Mentorship program and the Wharton Social Impact Research Experience. She was also involved in the community as a peer counselor and training director of the Penn Benjamins peer counseling club, and she was a Child Life Services Volunteer with the Children’s Hospital of Philadelphia. At Cambridge, she is pursuing an MPhil in Population Health Sciences, specializing in Health Data Science. She is supervised by Dr. Mike Inouye and Dr. Yu Xu. Her dissertation project is focused on how age and sex impact genetic prediction of multi-omic traits and how age and sex impact genetic susceptibility to complex diseases through the multi-omics pathway.

Yi Wang   (University of Cambridge)

Yi grew up in Jiangsu, China. She received her BSc in Mathematics from an international joint program between Xi’an-Jiangtong Liverpool University in Suzhou, China and the University of Liverpool in the UK. During this time, she was supervised by Dr Jianjun Chen and investigated Vehicle Routing Problems with time window (VRPTW) using an innovative Machine Learning method. At Cambridge, she is pursuing an MPhil in Population Health Sciences, specializing in Health Data Science theme. She is supervised by Dr Xilin Jiang, focusing on designing matrix factorization method to identify comorbidity-specific genetic risk factors while controlling single disease GWAS.

Jiaying Yin   (University of Cambridge)

Jiaying grew up in Guangdong, China. She received her BSc in Statisctics and Minor in Computer Science Technology from BNU-HKBU United International College. During this time she was introduced to resource allocation and optimization in wireless communication and worked as a research assisstant in TImothy J Wu’s research group. She then earned a Master degree in Public Health focus on epidemiology and biostatistics at the University of Hong Kong. While in Hong Kong, she worked on public health promotion, investigated global burden of gout, and conducted research on COVID-19 vaccine effectiveness. She is now supervised by Yu Xu and Mike Inouye, and conduct a project focus on developing genetic prediction models for multi-omic traits that integrating sex chromosome information and facilitating the exploration of disease molecular mechanisms rooted in these chromosome.

Alumni

Name                                            Position                           Duration                                   CurrentRuidong Xiang   Bioinformatician June 2022 - Jan 2024 Group Leader, Computational Biology, AgriBioWoei-Yuh Saw   Postdoc Feb 2019 - Nov 2023 Research Fellow, BWH, Harvard Medical SchoolMyo Naung   Postdoc Jan 2023 - Dec 2023         Research Officer, ZiP DiagnosticsJohn-Luis Moretti   Research Admin July 2020 - Dec 2023 Musician, PRPeien Zhou   MPhil student Dec 2022 - Oct 2023 PhD student, University of OxfordJingqin Wu   Postdoc Feb 2021 - May 2023 Postdoc, Baker InstituteSol Lim   Postdoc Apr 2020 - Mar 2023 Senior Research Associate, University of CambridgeMuhamad Fachrul   PhD student Apr 2019 - Mar 2023 Postdoc, University of MelbourneJoanna Kaplanis   Postdoc Jan 2021 - Jan 2023 Genomic Data Scientist, Genomics EnglandSergio Ruiz Carmona   Bioinformatician        Jan 2019 - Nov 2022 Clinical Data Analyst, Murdoch Childrens Research InstituteHoward Tang   PhD/Postdoc                Aug 2015 - Sept 2022       Research Officer, Victorian Cancer CouncilSam Lambert   Postdoc/PI                     Jan 2019 - July 2022 Assistant Professor (tenured), Cambridge UnivRodrigo Canovas                   Postdoc                            Jan 2018 - Apr 2022          Research Scientist, CSIROJason Grealey                          PhD student                 Mar 2018 - Sept 2021       Postdoc, Children's Cancer InstituteArtika Nath                               PhD/Postdoc                Mar 2013 - Jan 2022          Bioinformatician, Cancer Alliance QueenslandGyorgy Abrusan   Postdoc                           Mar 2020 - Mar 2022 Postdoc, King's College LondonShu Mei Teo                              Postdoc                           Mar 2013 - July 2021         Biostatistician, OrygenAlex Smith                                 Postdoc                           Jan 2018 - Mar 2021          Bioinformatician, Swiss Institute of BioinformaticsGad Abraham                           PhD/Postdoc/PI        Feb 2012 - Mar 2021         Senior Manager, Statistical Genetics, CSL ResearchYouwen (Owen) Qin   PhD student                 Sept 2016 - Sept 2020      Research Scientist, BGI-ShenzhenJonathan Marten                   Postdoc                           Nov 2019 - Aug 2020        Manager, Therapeutic Sciences, Genomics PLCMarika Catapano                  Postdoc                            Feb 2019 - Oct 2019         Lead Bioinformatician, CoSyne TherapeuticsPetar Scepanovic                  Postdoc                            May 2019 - Dec 2019       Senior Scientist, Roche LtdMarta Brozynska                  Research manager    Jan 2017 - Sep 2019          Qualified Education Agent CounsellorAlex Tokolyi                              Bioinformatician        Jan 2019 - Aug 2019         PhD student, Cambridge Univ Qinqin Huang                          PhD student                  Sept 2015 - June 2019     Staff Scientist, Wellcome Sanger Institute Oneil Bhalala                            Bioinformatician       June 2012 - May 2019     Clinical Resident, Melbourne Health Tingting Wang                         Postdoc                           Dec 2017 - May 2019       Postdoc, Baker Institute Amy Hamilton                         PhD student                 Jan 2015 - July 2018         Clinical Scientist, St Vincent's Hospital Andrew Bakshi                        Bioinformatician       Apr 2016 - Apr 2017         Research Scientist, CSL ResearchSean Byars                                 Postdoc                           Feb 2014 - June 2017       Postdoc, Univ of Melbourne Liam Fearnley                          Postdoc                           Oct 2014 - Apr 2017         Centenary Fellow, Walter & Eliza Hall Institute Lesley Raven (née Gray)    Postdoc                           Dec 2013 - Mar 2017        Senior Bioinformatician, Australian Genome Research Facility Danielle Belgrave                  Visitor                              Sept 2016 - Dec 2016       VP of Artificial Intelligence & Machine Learning, GSKMichael Walker                      MSc                                    Feb 2013 - Sept 2016        Research Officer, La Trobe Univ Kristijan Vukovic                   Endeavour Fellow     Feb 2016 - Aug 2016        Marie Curie Fellow / PhD student, in3-Milan Anni Joensuu                           Visitor                              Feb 2016 - Mar 2016        Senior Researcher, Finnish Institute of Health & WelfareAki Havulinna                          Visitor                              Aug 2015                                 Chief Researcher, Finnish Institute of Health & Welfare  Chris Sibley                               Postdoc                           Aug 2014 - Aug 2015       Wellcome Fellow & Group Leader , Univ of Edinburgh Alysha de Livera                     Postdoc                          Oct 2014 - Aug 2015         Lecturer, Univ of Melbourne Alexia Rohmer                         Intern                               Jan 2015 - June 2015       Engineer, Strasbourg Univ Adrian Hecker                          Intern                              Dec 2013 - Feb 2014        MSc student, Univ of Melbourne David Savage                            Postdoc                          Feb 2013 - July 2013        Data Mining Analyst, Australian Govt