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Sriram Sankararaman


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Sriram Sankararaman is a Professor in the Department of Computer Science at the University of California, Los Angeles. His research interests include computational biology, statistical genomics, statistical machine learning, probabilistic graphical models, and Bayesian statistics. He is associated with the UCLA Samueli School of Engineering. His work has been featured in various media outlets, highlighting his contributions to understanding human evolution through genetic analysis. His research explores the impact of ancient DNA on modern human populations, including the detection of 'ghost' populations in West African genomes.


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Sriram Sankararaman is a computational biologist whose research focuses on computational biology, population genetics, Bayesian statistics, probabilistic graphical models, and machine learning. His work explores the genetic basis of complex traits, evolutionary processes, and the statistical inference of population history. Sankararaman has contributed to understanding Neanderthal and Denisovan ancestry in modern humans, archaic adaptive introgression, and the genomic landscape of human diversity. His research also addresses challenges in genomic privacy, ancestry inference, and the impact of natural selection on genetic variation. His publications often integrate probabilistic modeling with large-scale genomic data to uncover biological insights.

Source: google_scholar · 95 words
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