About

I’m an incoming Software Engineering student at the University of Waterloo interested in using software, machine learning, and mathematical/quantitative techniques to solve challenging problems.

My interest in quantitative problem-solving has led me to earn national-level results in mathematics and physics competitions, in addition to three Canadian Mathematical Olympiad qualifications, an Asian Pacific Mathematical Olympiad qualification, and invitations to both Canada’s IMO training camp and Canada's national physics camp.

As a research intern with a bioinformatics research group at the University of Calgary, I worked alongside PhD researchers and professors on machine learning applications in genomic prediction and genotype-phenotype association studies. I programmed and simulated models, analyzed experimental results, created data visualizations, and contributed to manuscript preparation. This work resulted in two co-authored papers published in the Journal of Applied Statistics and IEEE Transactions on Computational Biology and Bioinformatics.

Outside research and competitions, I founded and led Futurlign, a student-led nonprofit focused on AI awareness, impact, and responsible technology. I managed a team of 20+ leaders, staff, volunteers, and instructors and helped deliver courses and workshops reaching more than 400 young people in Calgary.

As I begin at Waterloo, I’m strengthening my foundations in Python, C++, algorithms, statistical modelling, and software engineering. I’m particularly interested in machine learning systems, AI research, scientific computing, quantitative research and development, mathematical problem-solving, and software engineering. I’m always interested in connecting with researchers, engineers, founders, and fellow students working in these areas.