Anisha Keshavan
Senior Data Scientist II
San Diego Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAnisha Keshavan is a Senior Data Scientist II with 14 years of experience translating complex biomedical data into actionable clinical tools, currently advancing precision medicine at BigHat Biosciences. She combines a PhD in Bioengineering with hands-on expertise in proteomics, MRI processing, and production ML pipelines to deploy disease‑activity algorithms and quantitative reporting for neurological conditions. At Octave she led serum proteomics selection and integrated OpenAI language models into literature review workflows, shortening experimental cycles and surfacing novel biomarkers. Her open-source contributions to neuroimaging tooling (notably improving the nipype FmriRealign4d interface) reflect a pragmatic focus on preprocessing robustness and reproducible workflows. She also built mobile and web platforms for large-scale data annotation and visualization, blending citizen science, deep learning, and product-minded engineering. Based in San Diego, she is fluent at bridging clinical insight, automation, and clear visual communication to accelerate translational research.
14 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at University of California, BerkeleyDoctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at University of California, San FranciscoUniversity of California, Los Angeles
Github Skills (8)
nipype10
workflow-engine10
python10
neuroimaging10
mri10
brain-imaging9
dataflow9
dataflow-programming9
Programming languages (13)
Github contributions (5)
nipy/nipype
Feb 2012 - Dec 2018
Workflows and interfaces for neuroimaging packages
Role in this project:
Back-end Developer
Back-end DeveloperContributions:62 commits, 7 PRs, 2 comments in 6 years 11 months
Contributions summary:Anisha primarily focused on developing and modifying the `FmriRealign4d` interface within the `nipype` library. Their work involved implementing new functionalities, modifying input and output specifications, and adding code to incorporate time interpolation and parameter adjustments. The changes suggest a focus on improving the preprocessing workflow for neuroimaging data, specifically for fMRI realignment tasks. The user also addressed code quality and whitespace formatting.
neuroimagingpythonworkflow-enginebrain-imagingbig-data
akeshavan/mindgames
May 2017 - Sep 2017
Contributions:208 commits, 5 PRs, 73 pushes in 4 months
lesionscrowdsourcetest-app
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