I am an MD/PhD computer scientist, broadly interested in the areas of machine learning, statistical inference, and information theory. My work focuses on developing tools for identifying structure in high-dimensional datasets using techniques from these fields.
I completed my MD at Harvard Medical School and the Massachusetts Institute of Technology.
I received my PhD from the department of computer science at the Massachusetts Institute of Technology, where I worked with Josh Tenenbaum and Tommi Jaakkola. I also collaborated closely with Pardis Sabeti and Michael Mitzenmacher.
Previously, I studied statistics at the University of Oxford on a Marshall Scholarship, and computer science at MIT.Email: dnreshef <at> mit <dot> edu
Selected Publications
Equitability, Interval Estimation, and Statistical PowerY. Reshef*, D. Reshef*, P. Sabeti**, M. Mitzenmacher**
(* co-first authors; ** co-last authors)
Statistical Science, 2020.
[Abstract] [Manuscript]
An Empirical Study of the Maximal and Total Information Coefficientsand Leading Measures of Dependence
D. Reshef*, Y. Reshef*, P. Sabeti**, M. Mitzenmacher**
(* co-first authors; ** co-last authors)
Annals of Applied Statistics, 2018.
[Abstract] [Manuscript]
Learning Optimal InterventionsJ. Mueller, D. Reshef, G. Du, T. Jaakkola
Artificial Intelligence and Statistics (AISTATS), 2017.
[Abstract] [Manuscript]
Measuring dependence powerfully and equitablyY. Reshef*, D. Reshef*, H. Finucane, P. Sabeti**, M. Mitzenmacher**
(* co-first authors; ** co-last authors)
Journal of Machine Learning Research, 2016.
[Abstract] [Manuscript]
Assessing the Perceived Predictability of FunctionsE. Schulz, J. Tenenbaum, D. Reshef, M. Speekenbrink, S. Gershman
Proceedings of the 37th Annual Conference of the Cognitive Science Society, 2015.
[Manuscript]
Cleaning Up the Record on the Maximal Information Coefficient and EquitabilityD. Reshef*, Y. Reshef*, M. Mitzenmacher**, P. Sabeti**
(*,** these authors contributed equally)
Proceedings of the National Academy of Sciences (PNAS), 2014.
[Abstract] [Manuscript]
Equitability Analysis of the Maximal Information Coefficient, with ComparisonsD. Reshef*, Y. Reshef*, M. Mitzenmacher**, P. Sabeti**
(*,** these authors contributed equally)
Preliminary version at:
[arXiv]
Factors Related to Increasing Prevalence of Resistance to Ciprofloxacin and Other Antimicrobial Drugs in Neisseria gonorrhoeae, United StatesE. Goldstein , R. Kirkcaldy, D. Reshef, S. Berman, H. Weinstock, P. Sabeti, C. Del Rio, G. Hall, E. Hook, M.Lipsitch
Emerging Infectious Diseases, 2012.
[Manuscript]
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)] [FAQ]
On measures of dependenceD. Reshef
Graduate thesis (University of Oxford), Department of Statistics, advised by Gilean McVean, 2011.
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]
Funding
I'm grateful for prior generous support from:
