Speaker: Deborah Hanus

PhD candidate at Harvard University

Deborah Hanus is a PhD candidate studying machine learning in Harvard University's Computer Science Department. She graduated from MIT with a Master's in Electrical Engineering & Computer Science and a dual-degree in Computer Science and Brain & Cognitive Sciences. She has worked as an engineer at a San Francisco startup. She has been awarded the Fulbright Student Fellowship, NSF Graduate Research Fellowship, and the Intel/ACM SIGHPC Computational Data Science Fellowship.

Find Deborah Hanus at

Talk: Machine Learning from Theory to Practice

Other talks from track Modern CS in the Real World


Monday, 26 June

Tuesday, 27 June

Wednesday, 28 June