Student Lightning Talks

Students (undergraduate, graduate and medical) are encouraged to present a 5-minute lightning talk showcasing research that either could be, or is already being, accelerated by DeepGreen.

RSVP to Present a Lightening Talk

November 7, 2019
9:00am - 1:00pm*
Davis Center Sugar Maple Ballroom

*Feel free to come and go as your schedule permits

RSVP to Attend

The VACC has a new artificial intelligence supercomputer, DeepGreen.

Learn how to access DeepGreen and get a hands-on introduction to machine learning and scientific programming with python. This free half-day workshop is targeted at researchers of all computing skill levels.

PDF icon Download DeepGreen Workshop flyer (PDF)

Student Lightning Talks

Students (undergraduate, graduate and medical) are encouraged to present a 5-minute lightning talk showcasing research that either could be, or is already being, accelerated by DeepGreen.

RSVP to Present a Lightening Talk

Schedule of Events

9:00 am Welcome and Opening Remarks
9:15 am How to Access DeepGreen and Basic Introduction to Python
10:00 am Lauren Hayward Sierens: "Hands-on Introduction to Machine Learning for Data Analysis and Scientific Discovery"
12:00 pm Pizza Lunch
12:20 pm Student Lightning Talks

Guest Speaker

Lauren Hayward Sierens

Lauren Hayward Sierens at the board, teachingLauren Hayward Sierens is a Perimeter Scholars International Fellow at the Perimeter Institute for Theoretical Physics and an adjunct assistant professor in the Department of Physics and Astronomy at the University of Waterloo. Lauren is originally from Winnipeg, Canada, and she received her Bachelor of Science degree in Physics and Computer Science from the University of Manitoba. Lauren completed both her Master of Science and her PhD in theoretical physics at the University of Waterloo and the Perimeter Institute.

Lauren works within the field of computational condensed matter physics, and her research interests involve using numerical methods to simulate phenomena such as superconductivity and quantum entanglement. She also develops programs and teaches courses in statistical mechanics, condensed matter theory, and machine learning for undergraduate and graduate students.

She will present a mini-course on the basics of machine learning and provide hands-on training in the use of various machine learning frameworks.