Manuel Rivas, Principal Investigator (P.I.)
Manuel Rivas, Principal Investigator (P.I.)
Manuel is an Assistant Professor in the Department of Biomedical Data Science at Stanford University in Stanford, California. Manuel has a Bachelor of Science in Mathematics from the Massachusetts Institute of Technology, and a Doctor of Philosophy in Human Genetics from the Nuffield Department of Clinical Medicine at Oxford University where he was a Clarendon Scholar. He did additional training at the Broad Institute in Cambridge, Massachusetts where he led the Helmsley Inflammatory Bowel Disease Exome Sequencing Program to understand the genetic factors that contribute to ulcerative colitis and Crohn's disease risk. See NIH Biosketch for updated CV. For a more comprehensive CV see here.
Chris Mark DeBoever, Postdoctoral Researcher
Chris Mark DeBoever is a postdoctoral researcher at Stanford University. Chris is leading the lab's research activities in the NHGRI Genome Sequencing Program with an initial focus on study design and data integration.
Johanne Marie Justesen, Postdoctoral Visiting Scholar
Cardiovascular diseases are responsible for 31% of deaths worldwide and posing a great threat to human health. However, to combat disease, there is a need to understand the genetic and environmental contribution to disease origin, onset and progression. New opportunities arise for studying disease origin and progression with large datasets that include both genetic information, phenotypical measurements and lifestyle information combined with prospective clinical records. The aim of Johanne’s project is to identify novel genetic variants that are causally related to cardio-metabolic disease origin, onset and progression by developing and implementing novel methodologies to take advantage of clinical prospective data and to use genetic methods to infer causality between measured phenotypes and lifestyle and development of cardiovascular disease. Moreover, she wishes to elucidate the underlying biological mechanisms behind selected associated variation via a combination of population studies and functional follow-up experiments.
Yosuke Tanigawa, PhD student
Yosuke Tanigawa is a first year PhD student in the Biomedical Informatics program at Stanford University. Yosuke will be co-advised with Prof. Gil Bejerano.
Matthew Aguirre, Research Data Analyst
Matthew Aguirre has a Bachelor of Arts in Applied Mathematics from Harvard College, where he studied infectious disease in structured populations at the Program for Evolutionary Dynamics. He also developed methods for genetic data quality control at the Broad Institute in Cambridge. Catch him outside on a hiking trail, or playing blues on an open piano.
Guhan Venkataraman, PhD Student
Guhan Venkataraman is a second year PhD student in the Biomedical Informatics program. He is working on developing statistical methods for cross-biobank and multi-response multivariate models.
Oliver Bear Don't Walk IV, Master's student
Oliver Bear Don't Walk IV is a Master's student in the Biomedical Informatics program at Stanford University. Oliver is currently researching ways to integrate mobile technologies with genomic and health outcomes reference datasets.
Julia Olivieri, PhD Scientist
Julia Olivieri is a PhD student in the Institute for Computational and Mathematical Engineering at Stanford. She is working on establishing correlations between HLA haplotypes and human diseases.
Junyang Qian, PhD
Junyang Qian is a PhD student in the Department of Statistics at Stanford. He is working with Rivas Lab under the supervision of Prof. Trevor Hastie on A Fast and Flexible Algorithm for Solving the Lasso in Large-scale and Ultrahigh-dimensional Problems, and Multi-Response Models.
Anna Cichonska, PhD Visiting Scientist
Anna Cichonska is a doctoral student in the HIIT/FIMM-EMBL International PhD Program in Molecular Medicine and Bioinformatics, a collaborative training initiative between Helsinki Institute for Information Technology HIIT and Institute for Molecular Medicine Finland FIMM. Before coming to Finland, she completed both Bachelor’s and Master’s degrees in Bioinformatics at the Silesian University of Technology in Poland. Anna is interested in the development and use of computational methods, especially machine learning algorithms, to facilitate different stages of drug development process, including predictive modeling of drug-protein interactions and pharmacogenomic models linking genetic information to drug indications. Outside of science, Anna enjoys travelling, hiking, fitness and baking.
(2016) Oliver Bear Don't Walk IV will be starting a PhD program in the Fall at Columbia University.
(Fall 2016) Mamie Wang is a first year Master's student in the Biomedical Informatics program at Stanford University. Mamie researched ways to perform fast and robust inference on large-scale biomedical and genetic datasets.
(Fall 2016) Antonia Lindsey is a first year Master's student in the Biomedical Informatics program at Stanford University. Tony has a Master's in Mathematics and a PhD in Electrical Engineering and Computer Science from University of California at Berkeley. Tony researched ways to integrate genetic, imaging, and clinical outcomes datasets.
(Fall 2016) Adam Lavertu is a first year PhD student in the Biomedical Informatics program at Stanford University. Adam researched how to apply finite mixture models to characterize the functional consequences of genetic variation.
(Winter 2016-2017) Greg McInnes is a first year PhD student in the Biomedical Informatics program at Stanford University. Greg helped develop a web browser for the UK Biobank data, which will be featured soon.
(Spring 2017) Ananth Ganesan is a Master's student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford University. Ananth applied and compared methods to estimating genetic parameters from brain imaging data.