Machine intelligence is rapidly changing how we do business and live our lives. EngSci alumni are invited to come back to EngSci for a one-day alumni bootcamp that will help you learn where this exciting new field is going, and how it might impact you or your business.
Saturday, September 22, 9 am – 5 pm, U of T St. George campus
Featuring speakers on various applications, tutorials, panel discussion and networking reception.
REGISTER NOW! Ticket sales close on September 14.
Would you or your company like to support this event? Please download information here.
Thank you to our generous event supporters:
McKinsey & Company is excited to come on campus to host an informational session for EngSci students interested in learning more about the world of consulting. You will hear first-hand from EngSci alumni Dave Urness (1T6) and Stephen Xu (1T8) how their background in engineering made the perfect fit for a career in consulting.
McKinsey is a global management consulting firm with over 120 offices in over 60 countries. Consulting is a career that fits your calling. Problem solvers and creative thinkers. Engineers and new business builders. Put your talents to use where opportunities are truly limitless and every day makes a difference.
This session is intended for Engineering students in their first, second or third year of studies. Make sure to register below!
As the term is coming to an end and the holiday is soon approaching, the Division would like to host a Meet and Greet session over tea, coffee and Timbits with the Chair and members of the Division. Please join us on Monday, December 3rd, 2018 from 9:30 a.m. to 11:00 a.m. in the Engineering Science Common Room for nice conversation and good company.
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