Laurence Liang
Laurence LiangBlog
Hi there! I am currently:
- developing models to optimize site reliability at Rootly (YC S21) AI Labs as a Member of Technical Staff
- improving drone localization accuracy at the DECAR Lab at McGill University
- running open source benchmarking hackathons and ML reading group meetups
My past experience includes developing vision models for the Canadarm program at MDA Space, contributing to evals and OpenBench at Groq, testing drones at ACSL in Japan as a Cansbridge Fellow, and co-authoring a workshop paper on distilling state space language models that was accepted at ICML 2024.
I'm Actively Looking For
- research roles in robotics related to sensor fusion, autonomous navigation and self-supervision
- research roles in ML related to improving model architectures, with a focus on state-space and optimizer acceleration
Please feel free to schedule a coffee chat through my Cal.com, I look forward to meeting you soon!
Selected Projects
- Self-Driving Car, BFMC 2024 Semi-Finalist (Top 24 Worldwide)
- Distilling Transformers to State Space Models (ICML 2024 workshop paper)
Work Experience
- Member of Technical Staff at Rootly (YC S21)
- Intern (Evals) at Groq
- Student Researcher at DECAR Lab (drone localization, McGill University)
- Intern (AI & Robotics) at MDA Space
- Data Scientist at Perceive Now
- Intern (R&D) at Autonomous Control Systems Laboratory
- Backend Developer at Soulzone
- Software at Expedia
Blog
BlogLet's Connect
Always excited to connect! I am most responsive via email (preferred method for messaging) and Cal.com (please book meetings directly there).
laurence.liang [at] mail.mcgill.ca / cal.com / twitter-x / github / linkedin