National Institute of Health and Medical Research, Villejuif, France
Université de Bretagne Occidentale, Brest, France
The University of Hong Kong, Hong Kong, Hong Kong
Pak Chung Sham is Professor of Psychiatric Genomics at The University of Hong Kong. After my clinical training in Psychiatry, I was awarded a Wellcome Trust fellowship, which enabled me to formally train in statistics (MSc at Birkbeck College London), and to study human genetics under Prof. Newton Morton at Southampton University, and Prof. Kenneth Kendler, Charles MacLean and Lindon Eaves at Virginia Commonwealth University. In 2000, I was appointed Professor of Psychiatric and Statistical Genetics at the MRC SGDP Research Centre in KCL. In 2004, I moved to the University of Hong Kong, where I served as Head of the Department of Psychiatry (2007–2011) and Director of the Centre for Genomic Sciences (2011 until present). My work on human statistical genetics: extension of the transmission/disequilibrium test using the Bradley-Terry model (ETDT); variance components model combining linkage and association (between- and within-sibships); analytic power calculation for linkage and association analysis of quantitative traits (leading to GPC); regression-based quantitative trait linkage analysis applicable to non-random samples of general pedigrees (MERLIN-REGRESS); analytic tools for genome-wide association studies (PLINK); individual risk prediction in complex diseases; gene-based association tests; polygenic risk scores for complex diseases; and analytic tools for association studies using next-generation sequencing (KGGSeq). My current research interests focus on the dissection of the genetic components of complex diseases (liability, prognosis and treatment response), and the elucidation of the causal relationships between genetic variants, environmental factors, endo-phenotypes, and diseases.
Università di Ferrara, Ferrara, Italy
University of Michigan, Ann Arbor, MI, USA
Michael Boehnke is the Richard G. Cornell Distinguished University Professor of Biostatistics at the University of Michigan where he is Director of the Center for Statistical Genetics and the Genome Science Training Program, and Co-Director of the Precision Health Initiative. His research focuses on development and application of statistical designs and analysis methods for human genetics, with emphasis on identification of genes that predispose to human diseases and traits. He is a principal investigator of the FUSION study of the genetics of type 2 diabetes (T2D), the Accelerating Medicines Partnership T2D Knowledge Portal project, and the InPSYght schizophrenia and bipolar sequencing project, steering committee chair of the T2D-GENES multiethnic genome sequencing consortium, and a founder and steering committee member of the DIAGRAM (type 2 diabetes), MAGIC (glucose and insulin), and GIANT (anthropometrics) GWAS consortia. He is a member of the National Academy of Medicine (USA) and a fellow of the American Statistical Association and the American Association for the Advancement of Science. He has trained 21 doctoral students and 10 postdoctoral fellows, 22 of whom are in faculty positions at major research universities around the world.
Rutgers University, Piscataway, NJ, USA
Mariza de Andrade
Mayo Clinic, Rochester, MN, USA
Mariza de Andrade is Professor of Biostatistics at the Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA. I am also a Fellow of the American Statistician Association. I hold an undergraduate in Mathematics, an MS in Statistics from the Institute of Applied and Pure Mathematics both in Brazil. I had a DAAD fellowship from 1979 to 1982 at University of Dortmund, Department of Statistics, Germany. I worked in Brazil at Federal University of Paraiba, Joao Pessoa from 1976 to 1979, at Federal University of Londrina, Parana from 1982 to 1983 and at Federal University of Sao Carlos, Sao Paulo, in the field of Statistics. I received a MS in Biostatistics in 1988 and a PhD at University of Washington, Seattle, WA, in 1990 (advisor Dr. Elizabeth A. Thompson). I held a 2-year post-doctoral fellowship at the Graduate School of Biomedical Sciences, University of Texas, Houston with Dr. Ranajit Chakraborty (1 year) and Dr. Eric Boerwinkle (1 year). I was a member of the Department of Epidemiology at UT M.D. Anderson Cancer Center until November 1999 when I moved to my current position. I wrote a program for family study for multiple phenotypes (MULTIC) using variance components available in R. I work mostly in statistical genetics in several diseases such as Parkinson, Cardiovascular, Lung Cancer, and Venous Thromboembolism, among others. My current research focus is on the analysis of Familial VTE and unrelated VTE to determine the causal genetic variants in secondary VTE cases as well as in women health.
University of Leicester, Leicester, UK
Frank Dudbridge is Professor of Statistical Genetics at the University of Leicester. He graduated in Mathematics and Computing from King’s College London and obtained his PhD from Imperial College London on the topic of fractal image compression. After postdoctoral positions at the University of California San Diego, University of Oxford and University of Cambridge he was a senior statistician at the MRC Biostatistics Unit, then Reader and Professor of Statistical Genetics at the London School of Hygiene and Tropical Medicine before joining the University of Leicester in 2016. His interests are in statistical methods for genetic epidemiology, in which he has made highly cited contributions to family-based association analysis, genome-wide association studies, genetic risk prediction and genetically informed causal inference. These are the fruits of collaborations with many outstanding colleagues in fields including cardiology, oncology, psychiatry and diabetes.
Rutgers, The State University of New Jersey, Piscataway, NJ, USA
King's College London, London, UK
Cathryn Lewis is Professor of Genetic Epidemiology & Statistics at King’s College London. She leads the Statistical Genetics Unit in the Institute of Psychiatry, Psychology & Neuroscience, and the Faculty of Life Sciences and Medicine. Her academic training is in mathematics and statistics, and she has been involved in genetic studies since her PhD training. Her research aims to identify and characterise genetic variants conferring risk of common, complex disorders, including depression, schizophrenia, ALS, stroke and rheumatoid arthritis. She has a particular interest in pharmacogenetics and in risk estimation, particularly applying polygenic risk scores. She chairs the Psychiatric Genomics Consortium Major Depressive Disorder Working group and leads the NIHR Maudsley BRC Biomarkers and Genomics theme.
Mulin Jun Li
Tianjin Medical University, Tianjin, China
Dr. Mulin Jun Li is a Professor at the Basic Medical Research Center of Tianjin Medical University. He received MS in software engineering from the University of Science and Technology of China and PhD in bioinformatics from the University of Hong Kong. He had exchange and postdoctoral training at Harvard University and the University of Hong Kong. His research interests include the development of bioinformatics tools and resources for interpreting variant effects on different types of molecular traits and human complex diseases, and the dissection of biological mechanism of disease-causal regulatory variants using high-throughput functional genomics methods.
University of Cologne, Cologne, Germany
Chinese University of Hong Kong, Hong Kong, Hong Kong
National University of Singapore, Singapore, Singapore
Professor Teo Yik Ying is the Dean of the Saw Swee Hock School of Public Health, National University of Singapore. He is also the iOmics Programme Leader at the Life Sciences Institute, and an Associate Faculty Member of the Genome Institute of Singapore. He majored in statistical genetics, having completed his doctoral training at the University of Oxford after obtaining a Distinction for his Masters in Applied Statistics at Oxford and graduating top of the cohort for the Bachelor programme in Mathematics at Imperial College, UK. He pursued his postdoctoral training with the Wellcome Trust Center for Human Genetics, where he was concurrently appointed as a Lecturer at the Statistics Department in Oxford University. Y.Y. also served as Director for the Centre for Infectious Disease Epidemiology and Research, where the Centre works closely with the Ministry of Defence to develop capabilities for disease surveillance, consultation and research to deter and to control potential infectious disease outbreaks. He was Founding Director for the Centre for Health Services and Policy Research, which approaches systems-level healthcare issues from a multidisciplinary perspective, connecting healthcare workers, patients, researchers, policy- and decision-makers to tackle complex themes in the fast-changing nature of health services delivery.
Hemant K. Tiwari
University of Alabama, Birmingham, AL, USA
Junwen John Wang
Mayo Clinic, Scottsdale, AZ, USA
Dr. Junwen John Wang is a Professor of Biomedical Informatics at Department of Health Sciences Research and Center for Individualized Medicine, Mayo Clinic Arizona. He is an affiliate Professor at Department of Biomedical Informatics, Arizona State University, Tempe Arizona and is supervising graduate students from ASU. He holds a MS degree in Computer Science from University of Pennsylvania and a PhD degree from University of Washington. Dr. Wang’s current research area is in bioinformatics, computational genomics and precision medicine. His group has developed over a dozen tools in analyzing next generation sequencing data, inferring regulatory networks from multi-dimensional OMICs data, and annotating noncoding genetic variants. Prior to Mayo, Dr. Wang was a faculty member at Centre for Genomic Sciences, the University of Hong Kong, where he earned an outstanding young research award in 2012. Dr. Wang has supervised over a dozen PhD students, among them, two obtained outstanding postgraduate student award from the University of Hong Kong.
University of Pennsylvania, Philadelphia, PA, USA
Dr. Kai Wang is an Associate Professor at the Raymond G. Perelman Center for Cellular and Molecular Therapeutics of the Children’s Hospital of Philadelphia (CHOP) and Department of Pathology & Laboratory Medicine at the University of Pennsylvania (Penn) Perelman School of Medicine. He received a Bachelor’s degree from Peking University in China, a master’s degree from Mayo Clinic, and a PhD from the University of Washington, then had postdoctoral training at Penn and CHOP. His research focuses on the development and application of genomic approaches to study the genetic basis of human diseases and facilitate the implementation of genomic medicine.
The University of Texas, Houston, TX, USA
Dr. Zhongming Zhao is Chair Professor for Precision Health, Dr. Doris L. Ross Professor of Biomedical Informatics, and the founding director of the Center for Precision Health, the University of Texas Health Science Center at Houston (UTHealth). Before he joined UTHealth in 2016, he was Ingram Endowed Professor of Cancer Research, Professor in the Departments of Biomedical Informatics, Psychiatry, and Cancer Biology at Vanderbilt University Medical Center, Chief Bioinformatics Officer of the Vanderbilt-Ingram Cancer Center (VICC), Director of the VICC Bioinformatics Resource Center, and the Associate Director of the Vanderbilt Center for Quantitative Sciences. Dr. Zhao has unique, interdisciplinary training: he received his master’s degrees in Genetics (1996), Biomathematics (1998), Computer Science (2002), Ph.D. degree in Human and Molecular Genetics (2000), and Postdoctoral Fellow in Bioinformatics (2001-2003). Dr. Zhao has more than 20 years of bioinformatics and systems biology research experience and has co-authored more than 285 papers in these areas. His broad interests cover the application of integrative genomics and systems biology approaches to complex disease studies and the application of next generation sequencing technologies in precision medicine. Dr. Zhao has served as the Editor-in-Chief, Associate Editor, or editorial board member of many journals and served as the General Chair, Steering Committee Chair, Program Committee Chair, Session Chair, or has been on the steering, program, and award committees of numerous bioinformatics- and biomedical informatics-related international conferences. Dr. Zhao has received several awards, including the Keck Foundation Post-doctoral Fellowship (twice: 2002, 2003), the NARSAD Young Investigator Award (twice: 2005, 2008), a NIH-funded VPSD Career Development Award in GI Cancer (2009).