Sriram Sankararaman

Professor Sriram Sankararaman is a computational scientist with triple appointments at the University of California, Los Angeles in the Computer Science Department, Department of Human Genetics, and Department of Computational Medicine. His interdisciplinary research bridges computer science, statistics, and biomedicine.

• PhD in Computer Science from UC Berkeley
• Postdoctoral training at Harvard Medical School

Research focuses on statistical and computational methods for understanding genomic datasets, including:

• Population genetic inference and archaic admixture analysis
• Genetic architecture of complex traits
• Machine learning for clinical data integration
• Privacy-preserving genomic analysis

Recent publications address scalable algorithms for biobank-scale data, evolutionary insights from archaic DNA, and interpretable machine learning models. His lab develops tools like SCOPE and RHE-mc for population structure and variance components analysis.

Scientific Honors

• NSF Career Award (2020)
• Microsoft Investigator Fellow (2019)
• Northrop Grumman Excellence in Teaching (2019)
• Okawa Foundation grant (2017)
• Alfred P. Sloan Fellow (2017)
• NIH Pathway to Independence Award (2014)
• Visvesvaraya Medal (2004)

As director of the Machine Learning and Genomics Lab, he leads research on evolutionary genomics, medical genetics, and scalable algorithms for integrating multi-modal biomedical datasets.