Scholar
Vinitra Swamy
Google Scholar ID: SX9GAqwAAAAJ
EPFL, UC Berkeley, Microsoft AI
Citations & Impact
Citations
884
H-index
11
i10-index
12
Publications
20
Co-authors
50
list available
Publications
Resume (English only)
Academic Achievements
- Published over 15 papers at top ML venues (such as NeurIPS, ICLR) and top educational AI venues (like AIED, LAK); Recognized as a 'Rising Star in Data Science' by Stanford, UCSD, and UChicago; Unanimously elected for the GResearch PhD Award; Received the IC Distinguished Service Award three times; PhD thesis on 'A Human-Centric Approach to Explainable AI for Personalized Education' is now publicly available.
Research Experience
- Worked as a lead engineer for the Open Neural Network eXchange (ONNX) project at Microsoft AI, collaborating with over 30 leading tech companies including Nvidia, Intel, Amazon, and Meta to establish an AI interoperability standard; Lectured in machine learning for the Berkeley Division of Data Sciences and the University of Washington CSE Department.
Education
- Earned a PhD in Computer Science from EPFL in 2025, co-advised by Prof. Tanja Käser and Prof. Martin Jaggi; Graduated as the youngest M.S. in Computer Science recipient in UC Berkeley’s history at age 20.
Background
- An AI researcher, CEO, and co-founder of Scholé AI. Research interests include ML for education (personalized learning, autograding, knowledge tracing), explainable and interpretable AI, and generalized learning (transfer learning, multimodal learning).
Miscellany
- Loves people and data, enjoys working on exciting problems at the intersection of the two.
