Sriram Sankararaman

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 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:

• Scaling statistical models to millions of genomes@IMSI

• Archaic admixture in human history@Radcliffe Institute

• Signals of Ghost Archaic DNA in Present-Day West African Populations

• Recovering signals of ghost archaic introgression in African populations@CARTA

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)