I am a Senior Scientist in Bioinformatics at Pacific Biosciences. I work on the algorithms underlying the sequencer basecalling for the short read sequencers.

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Posters

Posters

  • Ancestral Haplotype Prediction using Neural Networks (October 2022) Saurabh Belsare and Andrew D. Kern (American Society of Human Genetics 2022)
  • Neural Network based Ancestral Haplotype Prediction (April 2021) Saurabh Belsare and Andrew D. Kern (Probablistic Modeling in Genetics Meeting 2021)
  • Imputation in South Asian individuals using a high-coverage South Asian reference panel. Saurabh Belsare et al (American Society of Human Genetics Meeting October 2019)
  • Estimating Recombination Rates in Primates and Humans Saurabh Belsare and Jeffrey D. Wall (Bay Area Population Genomics Meeting June 2019)
  • Evaluating the phasing accuracy of the 1000 Genomes Project. Saurabh Belsare and Jeffrey D. Wall (Bay Area Population Genomics Meeting November 2017)
  • Studying Solvation of Small Biomolecules via Molecular Dynamics using a Polarizable Force Field. Saurabh Belsare1, Alexander Esser1, Dominik Marx, and Teresa Head-Gordon (Proceedings of the Biophysical Society Meeting February 2017)
  • Studying Solvation of Small Biomolecules via Molecular Dynamics using a Polarizable Force Field. Alexander Esser1, Saurabh Belsare1, Dominik Marx, and Teresa Head-Gordon (Berkeley Statistical Mechanics Meeting January 2017)
  • Dynamic metrics for rationalizing directed evolution of enzymes. (August 2014) Saurabh Belsare, Teresa Head-Gordon (Proceedings of the American Chemical Society Meeting August 2014)
  • Rationalizing Directed Evolution through Protein Dynamics. (Jan 2014) %\textbf{Saurabh Belsare} (Proceedings of the Biophysical Society Meeting 2014)
  • Homology Modeling of Protein Structure using Fragment/Profile based search method in CASP9. M. Parthiban, S. Susdalzew, S. Belsare, et. al. 2010 Critical assessment of methods for protein structure prediction (CASP9) - Abstract Book

  1. Equal Contribution ↩︎ ↩︎ ↩︎ ↩︎

Projects

.js-id-Current-Research-Interests

Development and implementation of deep learning methods for population genetic analysis

Analysis of phasing and imputation in large scale human genetic data.

Studying dynamics of small biomolecules and enzymes, and their interactions with solvent

Experience

 
 
 
 
 

Senior Scientist, Bioinformatics

Pacific Biosciences of California

Feb 2023 – Present California
Developing basecalling algorithms for short read sequencers.
 
 
 
 
 

Postdoctoral Scholar

Kern-Ralph Co-lab, University of Oregon

Mar 2020 – Feb 2023 Oregon
Developing deep learning methods for population genomics.
 
 
 
 
 

Postdoctoral Scholar

Wall Lab, University of California, San Francisco

Jul 2017 – Jan 2020 San Francisco
Analysis of large scale human genetic data.
 
 
 
 
 

Graduate Student Researcher

Head-Gordon Lab, University of California, Berkeley

Jul 2012 – May 2017 Berkeley
Studying dynamics and solvation of small biomolecules and enzymes.

Teaching

Teaching Assistanship:

UC Berkeley BioE 131/231: Introduction to Computational Molecular Biology [Aug-Dec 2013]

Course Instructor: Prof. Ian Holmes, Department of Bioengineering, University of California, Berkeley

  • Was a graduate student instructor (GSI) for a joint undergraduate-graduate course
  • Conducted office hours, lab sessions, and introductory programming classes
  • Graded homeworks and projects