### Intro

I was a Fellow at The Data Incubator from January to March 2020. The Data Incubator offers an 8-week educational fellowship preparing students for careers in data science. Topics include: SQL, PySpark, Neural Networks (Tensorflow), Scikit-Learn, Data Visualization, Algorithms.

Certificate here.

Link to capstone project.

I completed a master's degree at the University of Toronto in computer science. I was part of the

SysNet group. I worked on a mathematical model of community formation in social networks. My work led to a publication at GameNets 2019, a conference dedicated to using game theory to understand networks:

Community Structures in Information Networks
(pdf here)
I majored in physics (minor in mathematics). My undergraduate research thesis was is in computational astrophysics.
I used and contributed to the open-source MESA
software to model the effects of a star's rotation on its evolution.
Stellar evolution modeling is a very interesting business because it
brings together many different fields of study: numerical analysis,
nuclear/quantum physics, fluid dynamics, classical mechanics and more.

### Research Interests

- Machine learning

- (Convex) Optimization

- Modeling social dynamics

- Stellar evolution modeling (computational astrophysics)