Sriram Sankararaman

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Associate 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 associate professor at UCLA in the Departments of Computer Science, Human Genetics, and Computational Medicine. I obtained an undergraduate degree from the IIT Madras, a Ph.D from UC Berkeley and was a post-doctoral fellow at Harvard Medical School before joining UCLA.

I am broadly interested in problems at the intersection of computer science, statistics, and biomedicine. Here are recent videos that summarize work from our lab:

Selected publications

  • Marginal Contribution Feature Importance – an Axiomatic Approach for The Natural Case
    ICML (2021) [arXiv]

  • Advancing admixture graph estimation via maximum likelihood network orientation
    Bioinformatics (special issue of ISMB/ECCB) (2021) [PDF]

  • Automated identification of clinical biomarkers from sparsely annotated 3-dimensional medical imaging
    NPJ Digital Medicine (2021) [PDF]

  • Quantifying the contribution of dominance effects to complex trait variation in biobank-scale data
    The American Journal of Human Genetics (2021) [PDF]

  • CONTRA: Contrarian statistics for controlled variable selection
    AISTATS (2021) [PDF]

  • Efficient variance components analysis across millions of genomes
    Nature Communications (2020) [PDF]

  • Explaining Groups of Points in Low-Dimensional Representations
    ICML (2020) [PDF]

  • Scalable probabilistic PCA for large-scale genetic variation data
    PLoS Genetics (2020) [PDF]

  • Recovering signals of ghost archaic introgression in African populations
    Science Advances (2020) [PDF]

  • The combined landscape of Denisovan and Neanderthal ancestry in present-day humans
    Current Biology (2016) [PDF]

  • Genetic and socioeconomic study of mate choice in Latinos reveals novel assortment patterns
    PNAS (2016) [PDF]

  • The genomic landscape of Neanderthal ancestry in present-day humans
    Nature (2014) [PDF]

  • Genomic privacy and limits of individual detection in a pool
    Nature genetics (2009) [PDF]

  • Estimating local ancestry in admixed populations
    The American Journal of Human Genetics (2008) [PDF]

Honors and Awards

  • NSF Career Award (2020)

  • Microsoft Investigator Fellow (2019)

  • Northrop Grumman Excellence in Teaching Award, UCLA (2019)

  • Okawa Foundation Research Grant (2017)

  • UCLA Hellman Fellow (2017)

  • Alfred P. Sloan Fellow (2017)

  • NIH Pathway to Independence Award (2014)

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

  • Harvard Science of the Human Past fellow (2012)

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