Hi, I'm a Master's student in artificial intelligence at Mila associated with Université de Montréal supervised by Aaron Courville. I graduated in 2017 with a Bachelor's in Software Engineering student from the University of Waterloo, during which I also spent an exchange term at Lund University in Sweden. Currently, I am also a Scientist in Residence at NextAI
My research interests span language, reinforcement learning, and AI ethics
Mila's asynchronous distributed hyperparameter optimization for deep neural networks
Follow-up to a popular previous tutorial, updated for the newer tensorflow structure
Android app that allows you to draw an app mockup on paper, take a picture of it, and quickly turns into a real app interface using React.js, made as part of Hack the North 2015.
Android app for creating and sharing electronic business cards using NFC, made as a part of Calhacks 2014
A machine learning classifier that reviews a Yelp user's reviews. Determines the overall quality of a user's Yelp reviews against training data of 1 million reviews, made as part of Yelp Fall 2014 Hackathon.
I spent my last co-op term working in academia doing deep learning research! I worked on backpropogation through stochastic discrete neurons as applied to GANs and word embeddings coming up with novel ideas and models. I had a great time working at one of the biggest academic deep learning labs in the world and met many smart, insightful grad students. Montreal as a city is also really great! I love the beer, bakeries, and my French really improved!
I got the amazing opportunity to do deep learning research at one of the top places in the world! I worked on the whole pipeline, from the proposal of an idea, figuring out a specific benchmark, creating a pipeline for generating data, and researching different architectures for the computer vision task. It was a great experience and I learned the basics of applying and researching deep learning, ending up with a pretty good result.
I really enjoyed working with my fantastic mentor, Wei, going to reading groups, listening to tales of the early silicon valley, and meeting fantastic researchers. I delved even more into coffee and learned how to make a pretty decent latte (espresso machine and all), though my latte art needs some work!
I came back to San Francisco to work at a really interesting startup, changing the way we measure the economy (and a bunch of other things!) by using an app for on-the-ground contributors, paying them to collect data, and intelligently processing it to figure out what is happening across the world in real time.
I worked as an everything engineering touching the data analysis pipeline, the android app, the server code, and even getting into some image processing. It was fun working with such a skilled, tight-knit team and I drank a lot of good coffee)
I spent a great four months in San Francisco working on biz.yelp.com
I worked on full-stack web development on an agile team, getting my first real taste of Silicon Valley. Then, I dove deep into the code and worked on frontend features like the new landing page and purchasing flow, as well as backend where I internationalized check-in offers. I also discovered the best chocolate.
I worked at an awesome water data startup in downtown Toronto located at CSI
I got to work on our whole backend pipeline, from scraping and web crawling, to unstructured text classification, to text parsing. I delved further into classification and really improved our recall with positive-unlabelled learning, and did some interesting work integrating ElasticSearch with MongoDB for full featured text-search through pdfs
Also the tea was great.
I worked on some statistical machine learning in fields such as pattern detection and classification, in which I even implemented a novel algorithm!