Scholar
Sanketh Vedula
Google Scholar ID: mHBeKqIAAAAJ
Princeton University, Broad Institute of MIT and Harvard
machine learning
optimal transport
imaging
biology
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Citations & Impact
All-time
Citations
477
H-index
12
i10-index
13
Publications
20
Co-authors
15
list available
Contact
Email
sankethsai97@gmail.com
CV
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GitHub
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Publications
1 items
Inference-time optimization for experiment-grounded protein ensemble generation
2026
Cited
0
Resume (English only)
Academic Achievements
No specific details provided regarding publications, awards, etc.
Research Experience
- Postdoctoral Research Associate at Princeton University, hosted by Olga Troyanskaya and Guillermo Sapiro
- Eric and Wendy Schmidt Postdoctoral Fellow at the Broad Institute of MIT and Harvard
- Visiting Scientist at IST Austria during 2024-25, hosted by Paul Schanda and Alex Bronstein
- Founding team member and ML Researcher at Sibylla from 2020-23, building algorithmic trading strategies
- 8-month ML Research Scientist intern at Pfizer, Berlin in 2024, working on pharmaceutical chemistry and structural biology
Education
- Ph.D., Computer Science, Technion – Israel Institute of Technology, supervised by Alex Bronstein
- M.Sc. (cum laude), Computer Science, Technion, 2020
- B.Eng. (Hons.), Computer Science, BITS Pilani, 2017
Background
Interested in developing machine learning methods that accelerate scientific discovery. Aspires to build solutions for challenging problems with real-world impact. Loves science, enjoys doing research, learning, and discussing ideas with people.
Miscellany
Contact: sankethsai97@gmail.com / svedula@princeton.edu
Co-authors
15 total
Alex Bronstein
Professor @ISTA | Dan Broida Academic Chair, Schmidt Chair of AI, CS@Technion
Ortal Senouf
École Polytechnique Fédérale de Lausanne (EPFL)
Co-author 3
Co-author 4
Nishil Talati
Assistant Research Scientist, University of Michigan
Haojie Ye
University of Michigan; NVIDIA
Co-author 7
Ailie Marx
Helmsley Fellow with Tel Hai Academic College and Migal - Galilee Research Institute.
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