Sathya Edamadaka
Doctoral Candidate In Materials Science And Engineering
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolSathya Edamadaka is a materials-focused machine learning researcher and engineer with eight years of experience bridging physics, computation, and product-scale systems from Stanford to Apple and now MIT. He develops ML models for materials across length- and time-scales—applying graph neural networks and multi-task learning to discover high-conductivity polymers and deployable computational materials tools. His work spans deep learning in medical imaging (publishing top-performing rib-fracture detection research), embedded firmware for autonomous vehicles, and scalable serverless data platforms, reflecting rare full-stack fluency. An organizer and educator at Stanford, he pairs rigorous academic research with practical engineering delivery and is active in competitive data-science fellowships and hands-on hardware projects like high-altitude launches. Notably, he combines conservatory-level musical training on violin with technical depth, a background that informs his disciplined, creative approach to problem solving.
8 years of coding experience
8 years of employment as a software developer
Precollege/Dual Enrollment Diploma, Violin, Precollege/Dual Enrollment Diploma, Violin at Manhattan School of MusicHigh School, Engineering, High School, Engineering at High Technology High SchoolMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
French, Telugu, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
javascript4
stem2
simulation1
machine-learning1
deep-learning1
monte-carlo1
Programming languages (3)
Github contributions (5)
snme/cs106L-assignment1
Aug 2021 - Sep 2022
Assignment #1 for CS106L
Contributions:7 commits, 3 PRs, 4 pushes in 1 year 1 month
snme/cs106L-mastery
May 2021 - Jan 2022
Contributions:1 release, 6 commits, 4 pushes in 8 months
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