cv
Last Update on Nov 22th 2024.
Basics
Name | Tim (Tiange) Zhou |
tim dot tiange dot zhou at gmail dot com | |
Phone | (778) 683-7511 |
Website | https://timothyzg.github.io/ |
Research interest | Uncertainty Quantification, Robust Transfer Learning, Computer Vision, Human-AI Intertaction |
Work
-
2024.09 - 2024.12 Vancouver, BC, Canada
Teaching Assistant, CPSC 320: Intermediate Algorithm Design and Analysis
Computer Science Department, University of British Columbia
I lead three weekly tutorial sessions for over two hundred students, where I explain lecture concepts in detail, present challenging problem examples, facilitate student discussions, and work through problem solutions and proofs in detail.
- Greedy Algorithm
- Dynamic Programming
- P vs. NP
-
2024.05 - 2024.08 Vancouver, BC, Canada
Undergrad Researcher (full-time paid), Machine Learning
Statistics Department, University of British Columbia
I lead the Deep Duo Project, focusing uncertainty quantification and robustness methods for deep learning.
- Computer Vision
- Tansfer Learning
- Uncertainty Quantification
-
2023.09 - 2024.08 Vancouver, BC, Canada
Research Assistant, Robotics & HCI
Computer Science Department, University of British Columbia
I lead software development in the happraisal project, developing multithreaded tetherless software for real-time robotics control and data gathering, demoed at Eurohaptics 2024, manuscript in construction.
- Human Computer Interaction
- Robotics Software
- Human Experiment Design
-
2022.09 - 2023.04 Calgary, AB, Canada
Data Scientist Co-op
Innovation and Technology Lab, Enbridge Inc.
I implemented unsupervised models for real-time energy consumption outlier detection and trained transfer-learned convolutional neural networks to identify undesirable objects in aerial imagery of energy pipelines.
- Computer Vision
- Unsupervised Learning
- Applied ML
Volunteer
-
2024.09 - 2025.04 Vancouver, BC, Canada
Senior Student Mentor
Science Undergraduate Sociaty || UBC
Provide mentees with support on degree planning, Co-op search, and study advice.
-
2024.09 - 2025.04 Vancouver, BC, Canada
Senior Student Mentor (undergrad research focus)
Women in Computer Science || UBC
I guide mentees through undergrad research opportunities, and support them in reaching out to potential research labs.
-
2024.09 - 2025.04 Vancouver, BC, Canada
Course Developer: Computer Vision
GIRLsmarts4Tech || UBC
My team developed an intro workshop for the grade 6-9 girls in Greater Vancouver Area, we're in the refinement & finalization phase and the workshop is expected to be taught in Spring 2025 on UBC Campus:)
-
2023.09 - 2024.04 Vancouver, BC, Canada
Student Mentor
Computer Science Tri-Mentoring || UBC
Provide mentees with support on degree planning, Co-op search, resume refinement, and networking.
Education
-
2020.09 - 2025.04 Vancouver, BC, Canada
Bachelor of Science
University of British Columbia || UBC
Combined Honours, Computer Science and Statistics
Awards
- 2024.12.20
UBC Faculty of Science International Student Scholarship
University of British Columbia
$9000 merit-based award, recognition of research potentials, community services, and academic achievements.
- 2024.05.01
Work Learn International Undergraduate Research Awards
University of British Columbia
$6000 award that help subsidize my supervisor hire me for full-time summer research.
- 2023
Dean's Honour List
University of British Columbia
Recognition of academic excellency for full-time undergraduates.
- 2021
Dean's Honour List
University of British Columbia
Recognition of academic excellency for full-time undergraduates.
Languages
Mandarin | |
Native speaker |
English | |
Fluent; 160/160 Duolingo English Test; CEFR C2 Proficiency |
Interests
Machine Learning | |
Deep Learning | |
Computer Vision | |
Uncertainty Quantification | |
Machine Learning for Ecology |
HCI | |
Human-AI Interaction | |
Human-Robot Interaction | |
Uncertainty grounded Decision Making |
References
Dr. Geoff Pleiss | |
Research Supervisor |
Dr. Karon Maclean | |
Research Supervisor |
Dr. Anne Condon | |
TA Supervisor |
Projects
- 2024.05 - ongoing
Deep Duo
Deep Duo is a method developed to yield meaningful uncertainty measure through disagreement betwee a larger neural network and a smaller neural network. It builds on the success of Deep Ensemble's strengths in providing calibrated uncertainty measure, take advantage from the growing capabilities and transferabilities of foundation models.
- Uncertainty Quantification
- Ensemble Method
- Deep Learning
- 2023.09 - 2024.08
Happraisal
Building on established links between touch, emotion and cognition, this project aims to understand the impact of a person’s haptic interaction with an animate, affective, zoomorphic robot on their cognitive reappraisal success.
- Real-time System Design
- Human-Robot Interaction