Sriram Sankararaman

alt text 

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 a Professor of Computer Science, Human Genetics, and Computational Medicine at 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

  • Phenotype integration improves power and preserves specificity in biobank-based genetic studies of Major Depressive Disorder
    Nature Genetics (to appear) (2023)

  • Deep Learning-based Phenotype Imputation on Population-scale Biobank Data Increases Genetic Discoveries
    Nature Genetics (to appear) (2023)

  • Fast kernel-based association testing of non-linear genetic effects for biobank-scale data
    Nature Communications (2023)

  • The lingering effects of Neanderthal introgression on human complex traits
    eLife (2023)

  • Causal effects on complex traits are similar across segments of different continental ancestries within admixed individuals
    Nature Genetics (2023)

  • Leveraging family data to design Mendelian Randomization that is provably robust to population stratification
    Genome Research (2023)

  • Cross-trait assortative mating is widespread and inflates genetic correlation estimates
    Science (2022)

  • Inferring population structure in biobank-scale genomic data
    The American Journal of Human Genetics (2022) [PDF]

  • Marginal Contribution Feature Importance – an axiomatic approach for the natural case
    ICML (2021) [PDF]

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

  • Efficient variance components analysis across millions of genomes
    Nature Communications (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)