40 St George St
Toronto, ON M5S 2E4
PLEASE NOTE – NEW LOCATION BA1180David Ha graduated from EngSci 0T3 in Electrical Engineering Option. His EngSci thesis was about using machine learning techniques to detect steganography, supervised by Deepa Kundur. In his last year of EngSci, he audited classes offered by John Hull and Alan White in Rotman School to learn about derivatives, and he began his career in investment banking. He worked as a trader at TD Bank (Toronto/London), Barclays (London/Hong Kong), and finally Goldman Sachs (New York/Tokyo), where he was a Managing Director who ran the fixed-income trading business in Goldman Japan.
After retiring from his finance job, he became a research scientist at Google Brain (his current role). His research interests include fundamental neural network research, machine creativity, and evolutionary computing. He is currently building a machine learning research group in the Google Japan office in Tokyo. In this talk, he will be presenting several of his works that will be appear at this year’s Conference on Neural Information Processing Systems, held in Montréal in December 2018. He will also discuss some of his thoughts and reflections about life and career choices made during and post-EngSci.
This session is intended for upper year EngScis in Machine Intelligence, Robotics Engineering and Engineering Mathematics, Statistics and Finance Majors (session is open to all).
REGISTRATION IS FULL – NEW LOCATION BA1180