Aakarsh Anand
Graduate Teaching Assistant
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolAakarsh Anand is a PhD student and graduate teaching assistant at UCLA specializing in large-scale machine learning and statistical modeling for biomedical data. He designs foundation models for high-dimensional clinical and wearable time-series data and builds efficient algorithms to probe genetic architecture, with recent publications in Nature Genetics and Genome Research. His work blends randomized statistical methods and scalable computation—evidenced by a novel variance-component estimator and a pairwise interaction detector applied to biobank-scale datasets. He also brings practical software engineering experience, having built reproducible Snakemake pipelines for sequencing analyses and led course discussions and grading in ML classes. Based in Los Angeles, Aakarsh combines rigorous theory, hands-on pipeline engineering, and a focus on interpretable, personalized health insights.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of California, Los AngelesProgramming languages (2)
Github contributions (5)
acgowda/games
Jan 2017 - Apr 2021
Contributions:7 pushes, 3 branches in 4 years 3 months
acgowda/50whales
Jan 2022 - Feb 2022
Humpback Whale Identification
Contributions:19 commits, 18 pushes, 6 branches in 1 month
whalehumpback-whaleidentification
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