ML + Stat Gen

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

    PhD Candidate - Quantitative and Computational Biology (2014-2019)

  • UCLA

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

  • Curriculum vitae

Publications

Incorporating Prior Information into Association Studies

Gregory Darnell, Dat Duong, Buhm Han, Eleazar Eskin. "Incorporating Prior Information into Association Studies." Bioinformatics. 28(12):i47-53, Special Issue of the Proceedings of the Nineteenth International Conference on Intelligent Systems in Molecular Biology (ISMB-2012) Long Beach, CA: July 15-27, 2012.

Contact

  • gdarnell @ princeton . edu