Hey, I'm Winnie

Let's reflect on the latest scientific research, challenge the issues facing global communities, and use technology to empower expansive reformation.

I'm an undergrad at the University of Toronto studying Computer Science, Statistics and Math and specializing in artificial intelligence.
Currently, I research neural ODEs / SDEs, Bayesian neural networks, and variational inference with David Duvenaud at the Vector Institute. I'm also building bigger and more data efficient neural networks with brilliant researchers at FOR.ai.

In the current academic year, I have been on co-op first building sparse neural network models at Google Brain, now tackling sim2real transfer in RL and robotics at NVIDIA Research, and will later be bringing large-scale models of human-generated content to reality at Secant.ai.
In the past, I researched computational genomics with Michael Hoffman at Princess Margaret Cancer Research, engineered serverless computing toolchains at Google Cloud, and disrupted the next generation of carpooling platforms at HiRide.

Check out my research / projects to see what I've been up to, and reach out if you'd like to chat!

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2019 xwinxu's Github chart

Winnie Xu 2019.