Rohith Mohanakrishnan

PHD Candidate

Berkeley, California, United States
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Summary

👤
Senior
🎓
Top School
Rohith Mohanakrishnan is a PhD candidate at UC Berkeley with nine years of multidisciplinary experience at the intersection of computational materials science and data-driven machine learning. He combines first-principles techniques like density functional theory and molecular dynamics with practical ML deployment experience from roles at PayPal, applying models to fraud detection and non-destructive evaluation. Currently researching computational design of liquid electrolytes for Li-ion batteries (Persson Group, Jane Lewis Fellowship), he bridges atomistic insight and scalable data solutions to accelerate materials discovery. An IIT Madras alum with teaching and curriculum experience, he also translates complex science into industry-ready tools and coursework. Notably, his background spans hands-on numerical simulation of plasmonics to production-grade ML pipelines, making him fluent across research, engineering, and education.
code9 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Materials Science, Doctor of Philosophy - PhD, Materials Science at University of California, Berkeley
bookIndian Institute of Technology Madras
bookX, Science and Maths, X, Science and Maths at Velammal Matriculation Higher Secondary School , Mogappair
bookXI & XII, Computer science stream, XI & XII, Computer science stream at Maharishi Vidya Mandir,Chetpet
languagesEnglish, Tamil
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Github Skills (13)

science10
python10
materials-informatics10
dft9
pymatgen9
automation8
computational-materials-science8
prediction5
image-segmentation3
nickel3
javascript1
github-pages1
react1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Data and Results repository for Corrosion Prediction of Nickel Based Super Alloys
Contributions:10 commits, 2 PRs, 12 pushes in 4 months
corrosionnickelpredictionalloys
Contributions:27 pushes in 1 year 5 months
reacttemplate
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