Vinitra Swamy

Vinitra Swamy is the CEO and co-founder of Scholé AI, an AI-for-education research spin-off from EPFL and UC Berkeley focused on personalized enterprise upskilling for the AI era. Scholé is building an AI-native learning platform designed to help employees learn in the flow of work, and is co-developing the product through paid partnerships with several large enterprises. The team has also recently closed an oversubscribed pre-seed round. Vinitra’s background sits at the intersection of research, product, and large-scale engineering. At Microsoft AI, she was a lead engineer on the Open Neural Network Exchange (ONNX), working on an interoperability standard used to deploy machine learning systems widely. Before that, at UC Berkeley, she helped scale the university’s flagship data science course from 100 students into a 60k+ students delivered both in person and online, with the curriculum later adopted at over 60 universities globally. In 2025, she earned her PhD in Computer Science at EPFL, where she studied explainable AI and personalized education at scale, co-advised by the ML for Education Lab and the Machine Learning and Optimization Lab. Her thesis has been featured widely in the news and received multiple academic awards including EPFL's best CS thesis, Stanford's "Rising Star in Data Science", and the GResearch PhD Award. In collaboration with Scholé, Vinitra now teaches as faculty in Harvard’s new AI Intensive, which has been recognized by Forbes as the top agentic AI program for 2026 and serves corporate learners around the world. She served as a lecturer for data science and machine learning courses at UC Berkeley and the University of Washington.