Hi, I'm Linda!

I'm currently a machine learning engineer working on computer vision for the AI Content Understanding team at Meta. Previously I worked on 2D semantic segmentation and 3D object detection for perception on self driving cars at Lyft Level 5. Before coming into industry, I was a Masters research student, supervised by Prof. Alexander Wong, in the Vision and Image Processing Lab at the University of Waterloo, where I also completed my undergraduate degree in Systems Design Engineering.

My main focus is in applications of computer vision and deep learning, specializing in visual perception and scene understanding. The goal of my masters research was to design an AI-driven assistive technology for those with visual impairment by combining different visual perceptions in order to produce a rich scene understanding, while also maintaining a balance between speed, accuracy and size for operational AI. In addition to my thesis research, I am also involved in medical research projects, such as prostate cancer and COVID-19 detection. I have presented my research at CVPR and NeurIPS, as well as published in Sensors and Nature Scientific Reports.

During my undergrad and masters, I have completed internships at Darwin AI, where I worked on developing efficient deep learning models, Lyft Level 5, where I worked on monocular depth estimation for autonomous vehicles on the Perception team, and at Facebook on the Computational Photography team.

When I'm not researching or working, you'll most likely find me taking pictures 📸, hiking ⛰, traveling 🌏, eating 🍜 or swimming 🏊.