About Me
Hi, my name is Frank, and I graduated from the University of Waterloo with a Bachelor of Computer Science, specialized in AI. I’m super excited about multimodal learning, computer vision and robotics. I have broad interests in
- deep learning
- generative models
- view synthesis
- 3D reconstruction
- scene understanding
- autonomous driving
- semi-supervised learning
During my undergraduate study, I interned at Uber and Twitter to apply AI technology in the real world, which grants me invaluable industrial experiences.
Starting Fall 2023, I will study at Columbia University as a Master student to further explore the state-of-the-art in AI and ML.
Education
Columbia University
Master of Science in Computer Science - Machine Learning Track
Starting 2023 Fall
University of Waterloo
Bachelor of Computer Science - AI Specialization
2018 - 2023
GPA: 3.97/4.0 (93/100)
- Awards:
- Dean’s Honours
- Term Distinction
- President’s Scholarship
- Fav Courses:
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Neural Networks
- Machine Intelligence
- Computer Graphics
- Autonomous Vehicles
- Software Architectures
- Universe
Research Experience & Publications
Computational Health Informatics Lab
Research on world models for imaginative planning in reinforcement learning
Vision and Image Processing Group
COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for Early COVID-19 Recommendation
Pengyuan Shi^, Yuetong Wang^, Saad Abbasi, Alexander Wong (^ denotes equal contribution)
| Accepted by CVIS 2022 | [Link to Paper] |
Applied & Principled PL Group
Type-Preserving, Dependence-Aware Guide Generation for Sound, Effective Amortized Probabilistic Inference
Jianlin Li, Leni Ven, Pengyuan Shi, and Yizhou Zhang
| Accepted by POPL 2023 | [Link to Paper] |
Industry Experience
Uber
Software Engineering Intern
May 2022 - Dec 2022
Building deep learning models for image and document processing in the applied AI team. Also developing backend service for serving machine learning models via gRPC API
Engineering Intern
May 2021 - December 2021
Architected data pipeline and machine learning models for user engagement prediction in the home modeling team
Darwin AI
Deep Learning and DevOps/QA Developer Intern
Jan 2021 - April 2021
Optimized training pipeline and analyzed Tensorflow deep learning models for object detection, image segmentation and classification
Darwin AI
Machine Learning Test Automation Developer Intern
May 2020 - August 2020
Implemented an end-to-end automated testing system for machine learning platform
Genesys
Quality Assurance Intern
September 2019 - December 2019
Developed a Python multithreaded inbounded calls simulation program for automated testing
Projects
Miscellaneous
Alongside my interests in computer science some of my other interests and hobbies are:
- Astronomy (Stargazing)
- Gym Workout
- Piano
- Photographing
- Sketching
- Thinking