Sriram Sankararaman

alt text 

Assistant Professor
Computer Science Department
Department of Human Genetics
Department of Computational Medicine
Bioinformatics Interdepartmental Graduate Program
University of California, Los Angeles
Email: sriram [@] cs [DOT] ucla [DOT] edu
Lab website: Machine Learning and Genomics Lab

About me

I am an assistant professor at UCLA in the Departments of Computer Science, Human Genetics, and Computational Medicine. Previously, I was a post-doctoral fellow at Harvard Medical School and the Broad Institute. I received a Ph.D in Computer Science at UC Berkeley. Before coming to Berkeley, I received a B.Tech in Computer Science from IIT, Madras.

I am broadly interested in problems at the intersection of computer science, statistics, and biomedicine. See my lab website for more information.

Selected recent publications

  1. Ali Pazokitoroudi, Yue Wu, Kathryn S. Burch, Kangcheng Hou, Aaron Zhou, Bogdan Pasaniuc, and Sriram Sankararaman
    Efficient variance components analysis across millions of genomes
    Nature Communications (2020) [PDF]
    Preliminary version presented at RECOMB 2019 and NeurIPS Machine Learning in Computational Biology Workshop 2019.

  2. Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, and Ameet Talwalkar
    Explaining Groups of Points in Low-Dimensional Representations
    ICML (2020) [PDF]

  3. Aman Agrawal*, Alec M. Chiu*, Minh Le, Eran Halperin, and Sriram Sankararaman
    Scalable probabilistic PCA for large-scale genetic variation data
    PLoS Genetics (2020) [PDF, Supporting Information]

  4. Arun Durvasula, Sriram Sankararaman
    Recovering signals of ghost archaic introgression in African populations
    Science Advances (2020) [PDF, Supporting Information]

  5. Yue Wu, Anna Yaschenko, Mohammadreza Heydary, Sriram Sankararaman
    Fast estimation of genetic correlation for Biobank-scale data
    RECOMB (2019) [bioRxiv]

  6. Yue Wu and Sriram Sankararaman
    A scalable estimator of SNP heritability for biobank-scale data
    Bioinformatics (special issue of ISMB) (2018) [PDF]

  7. Sriram Sankararaman, Swapan Mallick, Nick Patterson, and David Reich
    The combined landscape of Denisovan and Neanderthal ancestry in present-day humans
    Current Biology (2016) [PDF]

  8. James Zou, Danny Park, Esteban Burchard, Dara Torgerson, Maria Pino-Yanes, Yun Song, Sriram Sankararaman\(^\dagger\), Eran Halperin\(^\dagger\), and Noah Zaitlen\(^\dagger\)
    Genetic and socioeconomic study of mate choice in Latinos reveals novel assortment patterns
    Proceedings of the National Academy of Sciences (2016) [PDF]

Honors and Awards

  • NSF Career Award (2020)

  • Microsoft Investigator Fellow (2019)

  • Northrop Grumman Excellence in Teaching Award (2019)

  • Okawa Foundation Research Grant (2017)

  • UCLA Hellman Fellow (2017)

  • Alfred P. Sloan Research Fellow (2017)

  • NIH Pathway to Independence Award (2014)

  • Fellow, Simons Institute for the Theory of Computing, Berkeley (2014)

  • Stellar Abstract award, Program in Quantitative Genetics conference, Harvard School of Public Health (2012)

  • Harvard Science of the Human Past fellow (2012)

  • Trainee Research Award, American Society of Human Genetics: Semifinalist (2011, 2015)

  • Outstanding Graduate Student Instructor Award, UC Berkeley (2006)

  • Visvesvaraya medal for highest CGPA in the graduating class, IIT Madras (2004)