Lab Members


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

  • PhD in Statistics, 2002

    Stanford University

  • 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

  • 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

Graduate Student

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, FST, 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

  • BA in Biochemistry, 2014

    University of Colorado Boulder


Lab Alumni

Name Current Position
Lin Chen Associate Professor, University of Chicago
Xiongzhi Chen Assistant Professor, Washington State University
Neo Chung Assistant Professor, University of Warsaw
Alan Dabney Associate Professor, Texas A&M University
Keyur Desai Bristol Myers Squibb
Frank Emmert-Streib Associate Professor, Tampere University of Technology
Sean Hackett Calico
Jeffrey Leek Associate Professor, Johns Hopkins University
Troels Marstrand LEO Pharma
Brigham Mecham Trialomics
Emily Nelson TBD
Narayanan Raghupathy Jackson Labs
David Robinson Stack Exchange
Dipen Sangurdekar Biogen
Lincoln Smith Highmark Inc
Minsun Song Assistant Professor, University of Nevada, Reno
Chuen-Seng Tan Assistant Professor, National University of Singapore
Sangsoon Woo Axio Research