Yakir Reshef 1stnamelastinitial at broadinstitute.orgI'm an MD/PhD computer scientist interested in the immune system. I'm currently a fellow in rheumatology at Brigham and Women's Hospital. My research focuses on developing quantitative methods for characterizing immune state from high-dimensional molecular data. In 2020, I completed an MD at Harvard Medical School and the Massachusetts Institute of Technology. I wrote my MD thesis with Soumya Raychaudhuri on analysis of single-cell data. In 2018, I completed a PhD in computer science at Harvard University, advised by Ryan Adams and Michael Mitzenmacher and working on problems in statistics, machine learning, and statistical genetics. I also collaborated closely with Alkes Price and Pardis Sabeti. In 2011, I was a Fulbright scholar in the Department of Applied Math and Computer Science at the Weizmann Institute of Science. In 2009, I graduated from Harvard College with a BA in mathematics. I wrote my BA thesis with Salil Vadhan. |
Selected publications (full list on Google Scholar)
Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics
Nature Biotechnology 2021[abstract] [talk] [bibtex]
Equitability, interval estimation, and statistical power
Statistical Science 2020[abstract] [pdf] [bibtex]
Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk
Nature Genetics 2018[abstract] [pdf] [talk] [bibtex]
Sequential regulatory activity prediction across chromosomes with convolutional neural networks
Genome Research 2018[abstract] [pdf] [bibtex]
Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types
Nature Genetics 2018[abstract] [bioRxiv] [bibtex]
An empirical study of the maximal and total information coefficients and leading measures of dependence
Annals of Applied Statistics 2018[abstract] [arXiv] [bibtex]
Measuring dependence powerfully and equitably
Journal of Machine Learning Research 2016[abstract] [pdf] [bibtex]
Comment on "Equitability, Mutual Information, and the Maximal Information Coefficient"
PNAS 2014[abstract] [pdf] [bibtex]
On Extractors and Exposure-Resilient Functions for Sublogarithmic Entropy
Random Structures and Algorithms 2012[abstract] [arXiv] [bibtex]
Detecting Novel Associations in Large Datasets
Science 2011.[abstract] [talk] [bibtex] [paper website] [accompanying Science perspective] [FAQ]
On Resilient and Exposure-Resilient Functions
My undergraduate thesis (2009), advised by Salil Vadhan.[pdf] [bibtex] |
FundingI'm grateful for prior funding from the NIH Medical Scientist Training Program, the PD Soros foundation, the National Defense Science and Engineering Graduate (NDSEG) fellowship, and the United States Fulbright Program. |