Laurence Liang
Laurence LiangBlog
Hi There! I Am Currently:
- developing tools for language model evaluation at Groq
- buillding 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 (socials)
- and hosting ML reading group meetups
My past experience includes developing vision models for the Canadarm program at MDA Space, 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) (demo)
- Distilling Transformers to State Space Models (ICML 2024 workshop paper)
Work Experience
- ML Systems Intern at Groq
- Member of Technical Staff at Rootly (YC S21)
- 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