Ayush Tambde
Ayush competed in the Stripe Young Scientist & Technology Exhibition four times. His early projects focused on computing—from designing a new programming language for quantum computers to building a more intuitive operating system for quantum and classical machines. He achieved his best result in 2023, winning the Best Individual Project award for modeling how corrupted signaling pathways in breast cancer cells could be “debugged” to identify targeted therapies.
After a year studying physics at University College Dublin (UCD), Ayush received an Emergent Ventures grant and moved to San Francisco. He worked at SF Compute on GPU infrastructure, taught himself advanced machine learning, and later interned for Nat Friedman on machine learning projects. He now works at the compute cluster Andromeda.
Ayush’s advice to Stripe YSTE participants? “Make your poster really clear and nail the communication. Be able to describe your project in a handful of words, and ask the judges where they want you to go deeper.”
