Name Degree Years Thesis Position upon graduation
Emily Gong UBC M.Sc. 2022-
Michael Liu UBC M.Sc. 2022-
Rebecca Lin UBC USRA 2022 PhD student in MIT EECS
Emmanuel Sales UBC M.Sc. 2020-2022 Generalization bounds and size generalization for graph neural networks Software engineer at Google
Rex Lin UBC Honours Thesis 2020-2021 A Tour through the History of the Edit Distance Problem
William Lu UBC Honours Thesis 2020-2021 Towards a Tight Asymptotic Bound For One-Dimensional Stochastic Gradient Descent PhD student at Purdue
Sikander Randhawa UBC Ph.D. 2020-(withdrew in 2021) Startup company
Laura Greenstreet UBC Honours Thesis 2019-2020 Continuous Approximation to Two-Expert Prediction
Emmanuel Sales UBC Honours Thesis 2019-2020 Restricted-dimension subgradient descent: asymptotic bounds on error UBC M.Sc. student
Victor Sanches Portella UBC Ph.D. 2019-
Joey (Yihan) Zhou UBC M.Sc. 2019-2020 Regret bounds without Lipschitz continuity : online learning with relative-Lipschitz losses
Sikander Randhawa UBC M.Sc. 2018-2020 Understanding the role of averaging in non-smooth stochastic gradient descent UBC Ph.D. student
Chris Liaw UBC Ph.D. 2015-2020 Optimal algorithms for experts and mixtures of Gaussians University of Toronto postdoc
Keyulu Xu UBC USRA 2014-2015 PhD student in MIT EECS
Rebecca McKnight UBC M.Sc. 2014-2015 Low-stretch trees for network visualization Software engineer at (Vancouver)
Zachary Drudi UBC M.Sc. 2013-2014 A Streaming Algorithms Approach to Approximating Hit Rate Curves Software engineer at Coho Data (Vancouver)
Samira Samadi UBC M.Sc. 2012-2014 Near-optimal Herding Research assistant with Shai Ben-David at the University of Waterloo
Wai-Shing Isaac Fung Waterloo Ph.D. 2009-2011 Changed supervisor when I left Waterloo