I am currently an MD/PhD student in the Harvard-MIT Health Sciences and Technology (HST) program. Previously, I studied statistics at the University of Oxford, and computer science at MIT.
I am broadly interested in the areas of machine learning, statistical inference, and information theory. My work focuses on developing tools for identifying structure in large datasets using techniques from these fields.
Email: dnreshef <at> mit <dot> edu
Selected Publications
Detecting novel associations in large datasetsD. Reshef*, Y. Reshef*, H. Finucane, S. Grossman, G. McVean, P. Turnbaugh, E. Lander,
M. Mitzenmacher**, P. Sabeti** (*, ** these authors contributed equally)
Science, 2011.
[Manuscript] [Accompanying Science Perspective] [Science Podcast] [Project Website (reprints)]
On measures of dependenceD. Reshef
Graduate thesis (University of Oxford), Department of Statistics, advised by Gilean McVean, 2011.
Drug resistance in N. gonorrhoeaeE. Goldstein , R. Kirkcaldy, D. Reshef, S. Berman, H. Weinstock, P. Sabeti, C. Del Rio, G. Hall, E. Hook, M.Lipsitch
In Submission
Oseltamivir for treatment and prevention of pandemic influenza A/H1N1 virus infection in households, Milwaukee, 2009E. Goldstein, B. Cowling, J. O'Hagan, L. Danon, V. Fang, A. Hagy, J. Miller, D. Reshef, J. Robins, P. Biedrzycki, M. Lipsitch
BMC Infectious Diseases, 2010.
[Manuscript]
Development of high-throughput drug screening assay for membrane repairD. Reshef, E. Gallardo, S. Gibb, L. Glover, J. Landers, I. Illa, R. Brown Jr.
Presented at International Dysferlin Conference, 2007.
[Abstract]
Thanks for generous support from:
