Mat Kallada

Mat Kallada

About Me:

Hey, it's Mat! I enjoy learning new things and finding creative solutions to challenging problems. I was born and raised in Halifax, Nova Scotia and studied at Dalhousie University where I was a Schulich Scholar (Full-Ride Scholarship). I've worked on a variety projects such as developing AI models for healthcare and forecasting weather & traffic conditions with machine learning. I started programming at 12 and have always had a passion for working on high-impact projects alongside talented colleagues.

Around the Web:

I don't use social media a lot (because it messes up my dopamine system) but if you want to reach out to me:

Projects:

I've worked on a variety of projects over the years. Some are listed below.

STAT 2450

This was a machine learning course for early-year undergraduate students that I independently proposed and co-taught the first offering of. I developed the entire course curriculum and subsequently reached out to professors to help formalize the course. I wanted to take on the challenge of simplifying intricate machine learning concepts for early-year undergraduate students. I'm proud to say that this is now a required course for statistics majors. Link to Course Description

Meta-Learning Algorithms

This was a senior undergraduate research project where I investigated improving the performance of meta-learning protocols. I've always been fascinated by the potential of meta-learning to help build performant machine learning models. Upon graduating, I continued performing research on this topic at Mila with my collaborators. Here's an Invited Talk at the Perimeter Institute that I gave discussing some of our research.

Forecasting Weather and Traffic Conditions using Machine Learning

While I was a student, I worked as an undergraduate researcher on applying machine learning methods for forecasting future weather and traffic conditions. I reached out to a local surveillance camera company to ask whether I could perform machine learning on their feeds; I took that dataset to a professor and we started doing research on it. I co-authored papers of our research at the 28th Canadian Conference on Artificial Intelligence and the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition.


Fun Facts: