This is the homepage of Lisa Zhang.
Me In a Nutshell
I am currently an Assistant Professor, Teaching Stream (CLTA) at the Department of Mathematical & Computational Sciences, University of Toronto Mississauga. My office is located at DH3078.
I held many roles during my career: startup founder, data scientist, machine learning researcher, pure math student, and now a computer science teacher. I am passionate about machine learning, teaching education, writing, and still have a soft spot for great data visualization and nerdy humour.
My current research interest is in the intersection of Computer Science Education and Machine Learning. More specifically, I am interested in using Machine Learning techniques to understand student code.
- CSC324 Programming Languages Fall 2019, University of Toronto Mississauga
- CSC290 Communication Skills for Computer Science Fall 2019, University of Toronto Mississauga
- APS360 Fundamentals of AI Summer 2019, University of Toronto
- CSC290 Communication Skills for Computer Science Winter 2019, University of Toronto Mississauga
- CSC338 Numerical Methods Winter 2019, University of Toronto Mississauga
- APS360 Fundamentals of AI Winter 2019, University of Toronto
- CSC324 Programming Languages Fall 2018, University of Toronto Mississauga (with Daniel Zingaro)
- CSC290 Communication Skills for Computer Science Fall 2018, University of Toronto Mississauga
- CSC108 Introduction to Programming Summer 2018, University of Toronto (with Mark Kazakevich)
- CSC411/2515 Introduction to Machine Learning Winter 2018, University of Toronto (with Michael Guerzhoy)
Analyzing CS1 Student Code Using Code Embeddings
Robert Bazzocchi, Micah Flemming, Lisa Zhang
SIGCSE 2020 Technical Symposium Poster To appear
Model AI Assignments: Gesture Recognition using Convolutional Neural Networks
Lisa Zhang, Bibin Sebastian
EAAI 2020 To appear
AI Education Matters: Building a Fake News Detector
Michael Guerzhoy, Lisa Zhang, Georgy Noarov
AI Matters, Volume 5, Issue 3. September 2019 [paper]
First-order miniKanren representation: Great for tooling and search
Gregory Rosenblatt, Lisa Zhang, William E. Byrd, Matthew Might
ICFP miniKanren Workshop 2019 [paper]
Experience Report: Mini Guest Lectures in a CS1 Course via Video Conferencing
Lisa Zhang, Michelle Craig, Mark Kazakevich, Joseph Jay Williams
CompEd 2019 [paper]
Model AI Assignments: Building a Fake News Detector
Michael Guerzhoy, Lisa Zhang
EAAI 2019 [repository]
Neural Guided Constraint Logic Programming for Program Synthesis
Leveraging Constraint Logic Programming for Neural Network Guided Program Synthesis
Supervisors: Richard Zemel, Raquel Urtasun
Reviving and Improving Recurrent Back-Propagation
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard Zemel
ICML 2018 [arxiv]
Inference in probabilistic graphical models by Graph Neural Networks
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard Zemel, Xaq Pitkow
ICLR Workshop Track 2018 [paper]
Learning deep structured active contours end-to-end
Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
CVPR 2018 [arxiv]
Using GraphX and Pregel on Browsing History to Discover Purchase Intent
Spark Summit East 2016 [link]
Tiny Epiphany: This is my blog, formerly known as "A Notebook". I write about whatever comes to mind, technical and not.
Polychart: Data visualization software that connects directly to your database, and helps you explore the data using drag-and-drop.
My Resume: Slightly more structured overview of what I did.
You can email me at lczhang [at] cs [dot] toronto [dot] edu. If you are emailing me regarding a course, please include the course code in the email subject. Please mention if you are a current or past student.