Bio

Enjoyer of all things mathematical and musical; I’m tech support for your data & science problems.

I like to solve real problem by dissecting and developing the data and tools required to understand them. Some of my research interests include scientific computing, unsupervised learning, audio & signal processing, clustering, and tensor factorization. This has lead to interdisciplinary collaborations in fields such as computer science, statistics, geology, biology, and music.

Teaching undergraduate topics like calculus, Python, and linear regression across different universities taught me learning goes both ways. I strive to see topics from multiple views to best distill complex ideas and train the next generation of problem solvers.

When I’m not researching, coding, or teaching, you can find me singing and jamming with other musicians. My award winning a cappella arrangements and audio production & mixing can be found on YouTube and streaming platforms.

Please reach out if you’d like to collaborate (academically or musically) and I would be happy to connect!

Affiliations

Mathematics & Statistics Department | https://math.mcmaster.ca/

Former

Optimization Laboratory, UBC | https://mpf-optimization-laboratory.github.io/opt-blog/

MILD: Mathematics of Information, Learning and Data, UBC | https://mild.ubc.ca/

Institute of Applied Mathematics, UBC | https://www.iam.ubc.ca/

Department of Mathematics, University of British Columbia | https://www.math.ubc.ca

Department of Applied Mathematics, University of Waterloo | https://uwaterloo.ca/applied-mathematics

Contact

richan6 at mcmaster.ca

Hamilton Hall, Room 103E
McMaster University
1280 Main Street West
Hamilton, ON Canada L8S 4K1