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General Information

Full Name Sanketh Vedula
Date of Birth 1 November 1997
Languages English, Telugu, Hindi

Academic Appointments

  • 2025-present

    Princeton, NJ
    Postdoctoral Research Associate
    Princeton University
    • Hosts - Guillermo Sapiro, Olga Troyanskaya
    • Building AI systems to accelerate scientific discovery and enable precision healthcare.
  • 2025-present

    Boston, MA
    Postdoctoral Fellow
    Broad Institute of MIT and Harvard
    • Affiliated with the Eric and Wendy Schmidt Center.
  • 2024-2025

    Vienna, Austria
    Visiting Scientist
    Institute of Science & Technology, Austria
    • Host - Alex Bronstein
    • Led interdisciplinary machine learning projects in biology, chemistry, and physics with IST Austria researchers.

Education

  • 2025

    Haifa, Israel
    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

    Haifa, Israel
    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

    Hyderabad, India
    B.Eng. (Honors) Computer Science
    BITS Pilani
    • 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

Industry Experience

  • 2024

    Berlin, Germany
    ML Research Scientist Intern
    Pfizer
    • Host - Djork-Arne Clevert
    • Research focus - ML-based methods for NMR imaging, ML-based prediction of enantiomeric separation
  • 2024

    Vienna, Austria
    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

    London, UK
    ML Researcher
    Sibylla Ltd, UK
    • First employee. Built quantitative trading and portfolio management strategies

Honors and Awards

  • Eric and Wendy Schmidt Postdoctoral Fellowship, Broad Institute, 2025-26
  • 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

  • Tools
    • Generative models, optimal transport, geometric deep learning, uncertainty estimation, ML on graphs, inverse problems
  • Problem domains
    • Structural biology, genomics, precision health and medicine, computational imaging, finance