Computer Science
Columbia University (New York, NY)
My research involves the application of computational and statistical models to biological sequence data: particularly DNA. Currently, I am engaged in developing methods for the discovery of complex interactions between genes. In the past, I have worked on the following :
(1.) Gene Prediction (undergrad thesis):
Probabilistic Models (Hidden Markov Models) for motif finding and gene discovery in biological sequence data.
(Software link : http://www.alphaworks.ibm.com/tech/apas)
(2.) Comparative Genomics:
Quantifying the genetic variation accross the genomes of Yeast (S. Cerevisiae, C. Albicans), Worms (C. Elegans) and Humans (H. Sapiens).
(3.) HIV Evolution:
Studying the genetic basis of viral immune escape and development of drug resistance in HIV using Bayesian (graphical) models.
(4) Pooled Sequencing:
Optimizing the throughput utilization of short read sequencing technologies by enabling pooled ascertainment of sequences.
2009 Microsoft Research - Intern
2008 Broad Institute of MIT and Harvard - Visiting Student
2002-2006 IBM Labs - Research Engineer
2009-present Microsoft Research PhD Fellowship
2007 Goa Scholars Graduate Research Grant (USD 15k)
2006 IBM India Significant Publication Award
2004 IBM India Young Innovators Award
2000-2003 Fellow of the Melton Foundation


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Snehit Prabhu, Itsik Pe'er
Snehit Prabhu
Snehit Prabhu
Snehit Prabhu, Itsik Pe'er