John D. Storey
Principal Investigator
John Storey is a professor of statistics and genomics at Princeton University, where he is officially the William R. Harman ’63 and Mary-Love Harman Professor in Genomics. John’s research has been concerned with developing and applying statistical methods to high-dimensional data in genomics. In addition to being primarily appointed in the Lewis-Sigler Institute for Integrative Genomics, he is an associated faculty member in five other departments or institutes on campus.
Interests
- Data Science
- Population Genetics
- Quantitative Genomics
- Sports Analytics
- Statistics
Education
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PhD in Statistics, 2002
Stanford University
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BS in Mathematics, 1998
North Carolina State University
Awards and Honors
- COPSS Presidents' Award, 2015
- Mortimer Spiegelman Award (given by the APHA), 2015
- Founding Director, Center for Statistics and Machine Learning, 2014
- Thomson Reuters "The World's Most Influential Scientific Minds", 2014
- Elected Fellow of the Institute of Mathematical Statistics (IMS), 2012
- Elected Fellow of the American Association for the Advancement of Science (AAAS), 2011
- NHGRI Genome Advance of the Month for Desai et al. (2011) PLoS Medicine, Sept 2011
- Top 10 Most Highly Cited Researcher in Mathematics for 1997-2007 (Thomson In-Cites; index discontinued in 2007)
- Storey and Tibshirani (2003) PNAS among most cited PNAS articles
Andrew J. Bass
Graduate Student
Andrew Bass is a PhD student in the Quantitative and Computational Biology (QCB) program. His general interests include developing novel statistical methodologies to analyze high-dimensional data with applications to RNA sequencing and microarray studies, clinical studies and meta-analysis studies. Prior to attending the QCB program, he developed statistical software for analyzing biological data, in addition to solving problems in RNA sequencing technology and time course studies.
Interests
- Statistics and Machine Learning
- Multiple Testing
- High-dimensional regression
- Computational Biology
- Data Science
Education
-
PhD in Quantitative and Computational Biology, 2021 (expected)
Princeton University
-
MPS in Computing and Information Science, 2013
Cornell University
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BS in Applied and Engineering Physics, 2012
Cornell University
Awards and Honors
- 2008-2012 Irwin Jacobs Scholar, Cornell University.
Irineo C. Cabreros
Graduate Student
Irineo Cabreros is a PhD student in the Program for Applied and Computational Mathematics (PACM). His primary interest is in high-dimensional causal inference: both theoretical aspects as well as applications to gene networks. Irineo also works on algorithms for fitting population admixture models.
Interests
- Statistics
- Causal Inference
- Statistical Genetics
- Population Genetics
- High-Dimensional Statistics
Education
-
PhD in Applied and Computational Mathematics, 2019 (expected)
Princeton University
-
AB in Physics, 2013
Harvard University
-
MM (Master of Music), 2014
New England Conservatory of Music
Wei Hao is a PhD student in the Quantitative and Computational Biology (QCB) program. Prior to this, he worked as a scientific programmer in the Storey Lab. Wei’s research interests are primarily about high-dimensional statistical models in the context of statistical genomics as well as the applications and implementations of such models.
Interests
- Statistics
- Statistical Genetics
- Machine Learning
Education
-
PhD in Quantitative and Computational Biology, 2018 (expected)
Princeton University
-
AB in Physics, 2011
Princeton University
Alejandro Ochoa
Postdoctoral Research Fellow
Alex Ochoa is a postdoc in John Storey’s lab, at the Lewis-Sigler Institute for Integrative Genomics. Alex’s research is in population genetics (kinship, F
ST, GWAS), psychiatric response modeling, and previously on protein domain probabilistic sequence models and their statistics. See his
curriculum vitae for more information.
Interests
- Population Genetics
- Computational Biology
- Statistics
- Data Science
Education
-
PhD in Molecular Biology, 2013
Princeton University
-
BS in Mathematics, 2006
Massachusetts Institute of Technology
-
BS in Biology, 2006
Massachusetts Institute of Technology
Awards and Honors
- 2008 NSF Graduate Research Fellowship. Computational Biology.
- 2008 Ford Foundation Diversity Fellowship Predoc. Comp. (Declined, listed as Honorable Mention.)
- 2006 MIT Department of Biology Merck Prize. Awarded to a graduating senior for outstanding research and academic performance in biophysics or bioinformatics.
- 2001 Mexican Math Olympiad Gold Medal. Awarded to top 15 competitors nationally.
Riley Skeen-Gaar
Graduate Student
Riley Skeen-Gaar is a PhD student in the Quantitative and Computational Biology (QCB) program. Riley develops methods for studying the genetics of gene expression.
Interests
- Statistics
- Statistical Genetics
Education
-
PhD in Quantitative and Computational Biology, 2020 (expected)
Princeton University
-
BA in Molecular, Cellular, and Developmental Biology, 2014
University of Colorado Boulder
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BA in Biochemistry, 2014
University of Colorado Boulder