I am a University of Toronto graduate having studied math and computer science. Some of my current interests are mathematical finance, differential geometry, game theory, and neural networks. Please feel free to reach out to me using any of my links provided at the bottom of the page.
My resume can be found here.
Recent Work
Generating Functions: A Gentle Introduction to a Different Way of Counting
Here are the slides I made for a talk I gave at the 30th Canadian Undergraduate Math conference. I covered the basics of generating functions including examples with applications in combinatorics, number theory, and computer science.
An Analysis of Ensemble Methods for Deep Learning in the Diagnosis of Eye Diseases
I worked on a study of performance of neural network ensemble methods for medical imaging in the application of eye disease. We managed to achieve a 3% improvement over the dataset benchmarks.
Topological Data Analysis
An introductory paper about the applications of topology in studying high dimensional data. The basics of simplicial complexes are covered with the eventual lead up to the nerve theorem
Undergraduate Classes
Here is a list of some of my most memorable or enjoyable classes from my time studying at the University of Toronto.
- MAT351: Partial Differential Equations
- MAT377: Mathematical Probability
- MAT475: Problem solving Seminar
- CSC311: Introduction to Machine Learning
- CSC369: Operating Systems
- CSC413: Neural Networks