Hi! I am Ge Ya (Olga) Luo, a Ph.D. student at Mila – Quebec Artificial Intelligence Institute supervised by Prof. Christopher Pal. My research focuses on the intersection of computer vision and generative models. In 2017, I completed my Bachelor of Arts & Science in Computer Science at the University of Toronto, followed by a Master of Science in Computer Science at Université de Montréal in 2020.
My academic journey started with a Bachelor of Arts & Science in Computer Science from the University of Toronto in 2017, followed by a Master of Science in Computer Science from Université de Montréal in 2020. I’ve also had the amazing opportunity to collaborate with incredible teams during my doctoral studies! From April to September 2025, I was a visiting researcher at Prof. A. C. Öztireli’s CORE lab at the University of Cambridge, advancing 3D vision reconstruction. After that, I joined Meta-FAIR Montreal as a visiting researcher from September 2025 to June 2026, working on 3D vision and novel-view synthesis under the supervision of Dr. Michal Drozdzal and Prof. Adriana R. Soriano.
As of July 2026, I am thrilled to have started a new adventure as a Research Scientist at Netflix, where I get to continue exploring my deep-rooted interests in generative AI and 3D vision!
What I’ve Researched
- NeurIPS 2025 The Promise of RL for Autoregressive Image Editing
Saba Ahmadi, Rabiul Awal, Ankur Sikarwar, Amirhossein Kazemnejad, Ge Ya Luo, Juan A. Rodrigue, Sai Rajeswar, Siva Reddy, Christopher Pal, Benno Krojer, Aishwarya Agrawal - Preprint Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes
Anthony Gosselin, Ge Ya Luo, Luis Lara, Florian Golemo, Derek Nowrouzezahrai, Liam Paull, Alexia Jolicoeur-Martineau, Christopher Pal - LMID 2025 Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments
Gian Favero, Ge Ya Luo, Nima Fathi, Justin Szeto, Douglas Arnold, Brennan Nichyporuk, Christopher Pal, Tal Arbel - ICLR 2025 Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality
Ge Ya Luo*, Gian Favero*, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal - TMLR 2024 Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion
Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal - 2024 DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design
Zhi Hao Luo, Luis Lara, Ge Ya Luo, Florian Golemo, Christopher Beckham, Christopher Pal - 2022-2023 Video Prediction via Spatio Temporal External Attention and Memory
Ge Ya Luo, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Haozhe Zhang, Christopher Pal - 2018 RNNs with Private and Shared Representations for Semi-Supervised Sequence Learning
What I’m Exploring
My current research focuses on developing solutions for 3D vision generation, out-of-distribution scenario video generation, image editing, medical imaging and flow-matching.
What I Enjoy
I love working on various coding projects during my free time, including creating small games and solving LeetCode challenges. My GitHub repository contains a digital version of the beloved board game Codename, waiting for you to play and enjoy. Furthermore, I have also shared my solutions and explanations for different LeetCode problems in another GitHub repository.
Beyond research, I’m passionate about ultra-endurance sports. In 2023, I hit a massive milestone by crushing my first 80km trail ultramarathon with 3,300 meters of elevation gain. Most recently in 2026, I competed in the Conquer the Canuck challenge, placing 2nd overall.
Hi there, I'm Ge Ya (Olga) Luo! 