ML + Stat Gen

Update: I will be a postdoctoral fellow at the Institute for Computational and Experimental Research in Mathematics (ICERM) at Brown University starting September 2019, and will be attending the semester program in model and dimension reduction in uncertain and dynamic systems.

I study machine learning and statistical genetics in the Quantitative and Computational Biology Ph.D program at Princeton University, where I am advised by Barbara Engelhardt (Princeton) and co-advised by Sayan Mukherjee (Duke). I have worked in research labs at Microsoft Research New England (with Jennifer Listgarten and Nicolo Fusi), Rockefeller University (with Robert Darnell and Chaolin Zhang), and Harvard School of Public Health (with Alkes Price). At UCLA, my research mentor was Eleazar Eskin.

Education

  • Princeton University

    Ph.D. Quantitative and Computational Biology (2014-2019)

  • UCLA

    B.S. Computer Science, minor Bioinformatics (2008-2013)

  • Curriculum vitae
  • Research

    Adaptive Randomized Dimension Reduction on Massive Data

    Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology

    Statistical tests for detecting variance effects in quantitative trait studies

    Incorporating Prior Information into Association Studies

    Contact

    • Email

      gregory_darnell @ brown . edu