cv
General Information
| Full Name | Sanketh Vedula |
| Date of Birth | 1 November 1997 |
| Languages | English, Telugu, Hindi |
Education
-
2025 Ph.D. Computer Science
Technion - Israel Institute of Technology - Advisors - Alex Bronstein, Michael Zibulevsky
- Research topics - matrix completion, graphs, optimal transport, vector quantile regression, structural biology, single-cell multi-omics
-
2020 M.Sc. (cum laude) Computer Science
Technion - Israel Institute of Technology - Advisors - Alex Bronstein, Michael Zibulevsky
- Research topics - computational imaging, deep learning, inverse problems, learning-based design of imaging systems
-
2017 B.Eng. (Honors) Computer Science
BITS Pilani, Hyderabad, India - Undergraduate thesis - Deep learning for image restoration. Supervisor - Michael Zibulevsky
- Spent the final year as an exchange student at Technion, Israel
- Internships - Chennai Mathematical Institute, Tata Research & Development Design Center, Pune
Academic Positions
-
2025-Present Postdoctoral Research Associate
Princeton University - Hosts - Olga Troyanskaya, Guillermo Sapiro
- Research focus - Genomics + Physiology + ML
-
2024-2025 Visiting Scientist
Institute of Science & Technology, Austria - Host - Alex Bronstein
- Research focus - ML for structural biology
Professional Experience
-
2024 ML Research Scientist Intern
Pfizer - Host - Djork-Arne Clevert
- Research focus - ML-based methods for NMR imaging, ML-based prediction of enantiomeric separation
-
2024 Visiting Researcher
Institute of Science & Technology, Austria - Hosts - Paul Schanda, Francesco Locatello
- Research focus - ML-based approaches for NMR imaging of proteins, unsupervised alignment of single-cell modalities
-
2019-2023 ML Researcher
Sibylla Ltd, UK - First employee. Built quantitative trading and portfolio management strategies
Honors and Awards
- Pfizer--Technion Ph.D. Fellowship, 2023-24
- Excellence scholarship for Ph.D. studies, The Israeli Smart Transportation Research Center (2022-23, 2023-24)
- Faculty scholarship for excellence in studies and research, Computer Science Department, Technion (Fall 2019, Spring 2020, Fall 2022)
- Graduated Cum Laude, M.Sc. studies, Technion, 2021
- VATAT prize for outstanding interdisciplinary research in data science, Machine Learning and Intelligent Systems (MLIS) Center, Technion, 2020
Research Interests
-
Methodological Tools
- Generative models, optimal transport, geometric deep learning
- Distribution-free uncertainty estimation, graph signal processing
- Matrix completion, inverse problems
-
Application Areas
- Computational and structural biology, bioinformatics
- Single-cell multi-omics, computational imaging
- Mathematical physics, quantitative finance