[nom]

[e-mail] | · [nom] | [lien] | ‡ jonowo

Education

University of Waterloo · [nom]

B.Math., Computer Science and Combinatorics & Optimization (CAV: 93%) · Sep 2022 – Apr 2027 (Expected)

Courses: Operating Systems, Algorithms, Object-Oriented Programming

Machine Learning, Reinforcement Learning, Formalization in Combinatorics (Graduate)

Activities: Marker for MATH 135 Algebra; Animusic Ensembles

Skills

Languages Python, C, C++, JavaScript, HTML, CSS, SQL

Technologies / Tools PyTorch, JAX, Flask, React, Git, NoSQL, Bash, Linux, AWS

Experience

Waabi · Toronto, ON

Research Intern — Sensor Simulation team · Sep 2025 – Present

• Creating more lifelike 3D models of pedestrians using animatable 3D Gaussians, to improve the realism of our self-driving simulator.

Omnium · Toronto, ON

Data Scientist Intern — R&D team · Jan 2025 – Apr 2025

• Developed a time series model based on computational Bayesian inference with Kalman filters, to jointly estimate the effects of pricing and promotion on sales volume, implemented with Python and JAX.
• Automated a methodology for analysts to predict product discontinuation in R with new LOESS options.

Waabi · Toronto, ON

Research Intern — Sensor Simulation team · Sep 2024 – Dec 2024

• Steered a project on creating digital twins of pedestrians to make our simulator more realistic, under the mentorship of ex-Uber researchers. My results were demoed by CEO Raquel Urtasun at a company offsite.
• Developed a pipeline in Python for 3D reconstruction of pedestrians by fitting a parametric human model to multi-view LiDAR and camera observations, then refining via differentiable rendering with PyTorch3D.
• Improved positioning for static actors by lifting image segmentations to LiDAR point clouds using PyTorch.

Hang Seng University of Hong Kong · Hong Kong (Remote)

Research Assistant · May 2023 – Mar 2024

• Developed a proof-of-concept Instagram crawler with Python and MongoDB to identify self-harm content.
• Utilized the BERT model and PyTorch for aspect-based sentiment analysis of restaurant reviews.
• Publication (HCII 2024): Carlin C.F. Chu, [nom] H.Y. [nom], Raymond So, Andy Chan. Automatic Verbalizer for Extracting Fine-Grained Customer Opinions from Non-English Social Media Comments.

Activities

• Bronze Medal, Hong Kong Olympiad in Informatics · • Candidate Master (Top 3%), Codeforces
• Top 20, Hong Kong’s IOI Selection Test · • Jane Street First-Year Program (FTTP) participant
• Rank 95/10322, Google Kick Start Round E 2022 · • Top 25% (Score: 20/120), Putnam 2023
• Best Insight, ASA DataFest (Waterloo) 2025 · • Semi-Finalist, Microsoft Excel Collegiate Challenge

Projects

TheoremExplainAgent: a LLM agent pipeline for generating 3Blue1Brown-style videos. 1300+ GitHub stars.

• Publication (ACL 2025 Oral): Max Ku*, Thomas Chong*, [nom], Krish Shah, Yu Ching Lok, Wenhu Chen. TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding.

WYK Online Judge: a programming contest platform with 14k+ code submissions from 210+ students.

• Hired post-graduation to coach the school team on C++ and competitive programming using my platform.

Word Chain Bot: a Telegram bot hosting an English word game with 2.9M+ games played, written in Python.