Vikas Bansal

Associate Professor

San Diego, California, United States
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Summary

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Senior
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Top School
Vikas Bansal is an associate professor at UC San Diego with 13 years of experience at the intersection of human genetics and computational genomics, developing algorithms and software to analyze rare genetic variation from high-throughput sequencing. Trained with a Ph.D. in Computer Science (Bioinformatics) and a background from IIT Delhi, he blends rigorous algorithm design (C, Python) with large-scale population sequencing projects to advance disease-focused discovery. His lab produces open-source tools for sequence analysis used in academic and translational settings, reflecting a commitment to reproducible, production-ready scientific programming. Known for taking computational ideas from prototype to widely used pipelines, he pairs deep technical craft with biological insight to tackle challenging questions in human genetics.
code13 years of coding experience
job5 years of employment as a software developer
bookIndian Institute of Technology Delhi (IIT Delhi)
bookUniversity of California San Diego
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Github Skills (24)

phasing10
genome10
assembly10
coefficients10
caller10
estimate10
sequencing10
bioinformatics10
python-bindings10
fasta10
sequence10
bioconda9
error-prone9
mutation9
conda8

Programming languages (6)

JavaC++ShellRustCPython

Github contributions (5)

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vibansal/ancestry

Jul 2014 - Sep 2020

program to estimate admixture coefficients from individual genotype or sequence data
Contributions:52 commits, 2 PRs, 41 pushes in 6 years 3 months
sequenceindividualpythoncoefficientspython-bindings
vibansal/IntegratedPhasing

Jan 2019 - Jul 2020

Contributions:31 commits, 22 pushes, 2 branches in 1 year 5 months
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