Nakul Rampal
BIDMaP Fellow at University of California, Berkeley
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolNakul Rampal is a BIDMaP Fellow at UC Berkeley with eight years of computational research experience at the intersection of AI and nanoporous materials. He completed a PhD in Chemical Engineering at the University of Cambridge after MS work at UC Berkeley, and has applied molecular dynamics and Monte Carlo simulation techniques to study metal–organic frameworks and IRMOF series under leading labs. His current work focuses on AI4Science collaborations with faculty across Berkeley, blending data-driven modeling with domain expertise in porous materials. Comfortable in both academic and research-engineering roles, he brings a rare mix of deep simulation skills and emerging AI tooling to materials discovery. Based in Berkeley, he maintains an active public profile and technical website highlighting his interdisciplinary projects.
8 years of coding experience
3 years of employment as a software developer
Master of Science (MS), Chemical Engineering, Master of Science (MS), Chemical Engineering at University of California, BerkeleyDoctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at University of CambridgeBachelor of Technology - BTech, Chemical Engineering, Bachelor of Technology - BTech, Chemical Engineering at Manipal Institute of Technology
English, Hindi
Github Skills (9)
surface10
systems-biology5
simulation4
python3
chemistry3
lammps3
molecular-simulation3
thermodynamics3
file-format1
Programming languages (4)
Github contributions (5)
fairen-group/betsi-gui
Apr 2021 - May 2023
BET Surface Identification - a program that fully implements the rouquerol criteria
Contributions:1 release, 2 PRs, 6 pushes in 2 years 1 month
surfacecriteriaidentificationbet
nakulrampal/betsi-gui
May 2020 - Mar 2022
BET Surface Identification - a program that fully implements the rouquerol criteria
Contributions:121 commits, 1 PR, 36 pushes in 1 year 11 months
surfacecriteriaidentificationbet
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