Veda Boorla
Machine Learning Scientist at Arcellx
Germantown, Maryland, United States
Summary
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Senior🎓
Top SchoolVeda Boorla is a Machine Learning Scientist with 11 years of experience applying AI, molecular modeling, and computational protein engineering to therapeutic design. Currently at Arcellx, she focuses on CAR-T binder design and optimization, bringing a track record of translating in silico models into experimentally actionable candidates. Her PhD work at Penn State produced high-impact tools and publications—including CatPred (a deep learning model that improved enzyme turnover prediction by 40%) and Indel-Maker for structural modeling—demonstrating expertise across deep learning, Rosetta, and molecular simulations. She has industrial experience building high-throughput design pipelines at Amgen that generated tens of thousands of candidate sequences and dramatically reduced analysis time, and she mentors cross-disciplinary teams to bridge computation and experiment. Based in Germantown, MD, Veda combines rigorous chemical engineering training from IIT Kharagpur and Penn State with a practical bent for automating reproducible AI-driven protein design.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Penn State UniversitySecondary School Certificate, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, Secondary School Certificate, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES at Alphores High SchoolBachelor of Technology - BTech & Master of Technology - MTech, Chemical Engineering, Bachelor of Technology - BTech & Master of Technology - MTech, Chemical Engineering at Indian Institute of Technology, Kharagpur
English, Telugu, Hindi
Github Skills (32)
molecular-simulation8
dynamics7
simulations7
computational-chemistry7
science7
molecular-dynamics-simulation6
blockchain6
css6
python6
java6
simulation6
security5
mdanalysis5
linux5
javascript5
Programming languages (2)
Github contributions (5)
Vedasheersh/Flex_Index_IDP
Jul 2020 - Jan 2025
Contributions:2 pushes, 1 branch in 4 years 6 months
maranasgroup/CatPred
Oct 2023 - Mar 2025
Machine Learning models for in vitro enzyme kinetic parameter prediction
Contributions:2 releases, 12 PRs, 105 pushes in 1 year 4 months
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