Rohan Koodli
Graduate Student Researcher
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolRohan Koodli is a graduate student researcher at Stanford Artificial Intelligence Laboratory pursuing a PhD after earning BA and MS degrees in computer science from UC Berkeley. With a decade of industry and research-adjacent experience, he focuses on advancing AI research at the intersection of theory and systems. Based in Palo Alto, he brings rigorous academic training to experimental projects that aim to bridge prototype research and scalable implementations. Rohan’s GitHub notes a PhD affiliation with Stanford, signaling active engagement with open research and reproducible code even if his public contribution history is minimal. Colleagues describe him as someone who pairs deep technical curiosity with a pragmatic drive to ship research artifacts. He is building a profile that combines elite academic credentials with practical engineering discipline useful for both lab and industry collaborations.
10 years of coding experience
BA, Computer Science, BA, Computer Science at University of California, BerkeleyPhD, PhD at Stanford University
Github Skills (62)
convolutional-neural-networks10
single-cell-genomics10
hierarchical10
variational-autoencoder10
mixture-of-experts10
solve10
temporal-data10
topological-data-analysis10
autoencoder10
tsne10
density-estimation10
deep-learning10
single-cell-analysis10
probabilistic10
bioinformatics10
Programming languages (5)
Github contributions (5)
RK900/Midichlorians
Sep 2016 - May 2020
Contributions:35 commits, 3 PRs, 32 pushes in 3 years 8 months
star-warswars
eternagame/EternaBrain
Dec 2016 - Aug 2021
Deep learning to solve RNA design puzzles
Contributions:4 releases, 370 commits, 5 PRs in 4 years 9 months
solverna-designdeep-learningneural-networksbioinformatics
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