Sriram Sankararaman
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)
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