Biography

I’m a PhD candidate and Vanier Scholar at the University of Toronto Department of Statistical Sciences working with professors Daniel Roy and Jeffrey Rosenthal on machine learning, online learning, and computational statistics.

Interests

  • Online Learning
  • Computational Statistics
  • Statistical Learning Theory
  • Applied Probability
  • Stochastic Analysis
  • Markov Chains

Education

  • PhD in Statistical Sciences, (Ongoing)

    University of Toronto

  • MSc in Statistical Sciences, 2017

    University of Toronto

  • BMath Mathematical Finance, 2014

    University of Waterloo

Publications

(2020). In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors. Proceedings of the 37th International Conference on Machine Learning.

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(2019). Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. Advances in Neural Information Processing Systems 32.

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