Adil Asif


adil [dot] asif [at] mail [dot] utoronto [dot] ca

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"Service to others is the rent you pay for your room here on Earth." - Muhammad Ali

About

Feel free to reach out if you'd like to chat! 🙂


Current ⚡  :
I am currently an Associate Applied Machine Learning Specialist at the Vector Institute where I work under the LLM Infrastructure Team. I have been very fortunate to have worked with wonderful friends and collaborators who (non-exhaustively) are Maria Attarian, Roger Grosse, Igor Gilitschenski, and Guodong Zhang.

Research Interests 🧠  :
With the rate at which our field is changing, this varies time to time. However, I've become increasingly interested in interpretability and alignment of LLMs and take large interest in the literature at present (e.g. grokking, mechanistic interpretability, etc.)

Hobbies & Passions 🚀  :
Being in a fortunate enough position, one of my life long passions has always been giving back to the community. I am usually working towards volunteering and helping charitable causes. Other times, you'll probably find me playing video games. More recently, I have started reading the works of ancient Greek and Roman philosophers (e.g. Meditations by Marcus Aurelius).

Relevant Courses


Past

  • CSC304 - Algorithmic Game Theory and Mechanism Design
  • CSC336 - Numerical Methods
  • CSC420 - Introduction to Image Understanding
  • CSC401 - Natural Language Computing
  • CSC412 - Probabilistic Learning and Reasoning
  • CSC413 - Neural Networks and Deep Learning
  • CSC494 - Computer Science Project w/ Maria Attarian
  • CSC311 - Intro to Machine Learning
  • CSC369 - Operating Systems
  • CSC343 - Intro to Databases
  • CSC263 - Data Structures and Analysis
  • CSC320 - Intro to Visual Computing
  • CSC373 - Algorithm Design, Analysis & Complexity
  • CSC384 - Intro to Artificial Intelligence
  • MAT235 - Multivariable Calculus
  • MAT137 - Calculus with Proofs
  • MAT223 - Linear Algebra I

Audited

  • (Graduate Course) CSC2541 - Neural Net Training Dynamics

Recent News


  • [October 2023] Our paper on FlexModel was accepted as a spotlight to the NeurIPS SoLaR Workshop 2023! 🧠
  • [September 2023] Our paper on Geometry Matching for Multi-Embodiment Grasping was accepted to CoRL 2023! 🧠
  • [May 2023] Started as an Associate Applied ML Specialist at the Vector Institute 👨‍💻
  • [May 2022] Started research with Maria Attarian 🧠
  • [January 2022] Started as an Applied ML Intern at the Vector Institute 👨‍💻
  • [September 2021] Started as a student researcher at the Vector Institute with Professor Roger Grosse 🧠
  • [May 2021] Started research with Guodong Zhang 🧠
  • [September 2020] Started as a Data Science Intern at G42 👨‍💻