Anusri Pampari
Applied Scientist II at Amazon
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAnusri Pampari is an Applied Scientist II at Amazon with a decade of experience building deep learning systems for biology and healthcare, grounded in a PhD in Computer Science from Stanford. She created a noise-aware architecture that identified 2.5M protein-binding sites—four times prior methods—and built an HPC-enabled pipeline that trained and interpreted thousands of sequence models, dramatically reducing time-to-insight for domain experts. Her work is widely adopted in the community (130+ GitHub users for chrombpnet) and includes a NeurIPS benchmark for DNA LLMs as well as practical contributions like a fault-tolerant parameter server and uncertainty calibration methods. Prior internships at Google and IBM produced a 10x speedup for Data Shapley and a massively scaled EMR QA dataset used broadly in research. Based in Palo Alto, she combines rigorous academic research with production-focused engineering to translate cutting-edge ML into usable tools for biology.
10 years of coding experience
6 years of employment as a software developer
MInor degree, MInor degree at IIT Bombay - Shailesh J. Mehta School of ManagementIndian Institute of Technology BombayMaster's degree Computer Science, Master's degree Computer Science at University of Illinois Urbana-ChampaignDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
Github Skills (31)
python10
machine-learning10
deep-learning10
tensorflow10
visual-question-answering10
data-science9
squad9
ml9
question-answering9
deep-neural-networks9
neural-network9
nlp9
predict8
keras5
accessibility4
Programming languages (4)
Github contributions (5)
panushri25/academic-kickstart
Oct 2018 - Jul 2023
Contributions:144 pushes in 4 years 10 months
kundajelab/chrombpnet
Jul 2021 - Feb 2023
Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)
Contributions:5 releases, 13 reviews, 537 commits in 1 year 7 months
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