Biography

I am a PhD Candidate in Applied Mathematics at York University under the supervision of Dr. Jianhong Wu, a member of the Laboratory for Industrial and Applied Mathematics and a Data Scientist at FITFI. My research focuses primarily on Machine Learning and Computer Vision. In particular, I study how to effectively utilize synthetic data to train Convolutional-based Neural Network models, with applications to Light Field synthesis and compression. I have also worked on numerous COVID-19 projects related to optimal vaccination logistics, contact rate prediction and transmission modelling in collaboration with the ADERSIM team at York University.

Interests

Computer Vision, Domain Randomization, Domain Transfer, Light Field Rendering, Super-Resolution and Compression

Education

• PhD, Applied Mathematics, 2022
  • York University
• MA, Financial Engineering, 2015
  • Schulich School of Business @ York University
• MSc, Applied Mathematics and Physics, 2012
  • York University