Lab Reps are a point of contact to facilitate communication between/among students, interns, postdocs, faculty staff, as well as to enhance student involvement in decision-making processes.
The Lab Reps are elected every year by the students at Mila. While the specific initiatives undertaken by Lab Reps vary each year, depending on current context and interest of the members, they are always working to improve the Mila community.
Some of the Lab Reps roles and responsibilities include:
Students in need of advice or resources are welcome and encouraged to reach out to the Lab Reps at any time: firstname.lastname@example.org
Indian / Professional MSc / email@example.com
I am interested in applied research in representation learning. I am currently adapting self-supervised approaches to segmentation and object detection for obtaining better pre-trained models, making downstream task training more efficient and yielding high-performing models for devices with limited computing capability.
Fun Fact: My decision to pursue a master’s degree is influenced by a line from one of the Harry Potter movies: “What’s life without a little risk?”
Spanish / Postdoc / firstname.lastname@example.org
I research ways of applying machine learning to have a positive social impact and fight climate change. More broadly, I am interested in learning theory, brain-inspired deep learning and computational neuroscience.
Supervisor: Yoshua Bengio
Chinese / PhD / email@example.com
My research interest lies at the intersection of neuroscience and AI: I am interested in 1) understanding how the brain works using AI models and ML tools, and 2) using neuroscience principles to build better, more biologically-plausible AI models. I am particularly interested in reinforcement learning and its links to experimental neuroscience, as well as computational models for the hippocampal and visual systems in the brain.
Supervisor: Blake Richards
Fun Fact: My name means “winter beauty” in Chinese. I was born on the winter solstice.
Colombian / PhD / firstname.lastname@example.org
I am working towards generalizing standard information theory to geometric domains and the application of these ideas in machine learning problems.
Supervisor: Simon Lacoste-Julien
Fun Fact: When I was young, I used to think that Harper Lee’s book was titled “Tequila Mockingbird”.
Indian / MSc / email@example.com
My research interest is lifelong reinforcement learning, model-based RL, planning, and systematic generalizations.
Fun Fact: I love outdoor adventures! I was part of the sailing team and used to also play underwater hockey!
Iranian / PhD / firstname.lastname@example.org
My research focuses on the role of memory in reinforcement learning (RL) and how that can fill some of the gaps in the classical deep RL. I am also interested in studying representations learned by the human brain and their contribution to decision-making.
Fun Fact: One thing I cannot live without is baking patisserie!
Mongolian / MSc / Reach out on Slack
I’m interested in AI as a tool for insight into neuroscience. My current work focuses on building an attention-based neural network modelling the human visual system.
Fun Fact: I love city builder video games, but only if I get to drop a meteor on my city at the end.
French / PhD / email@example.com
I am interested in using AI to tackle environmental and societal challenges, and I am currently working on biodiversity monitoring using remote sensing and citizen science data. I am also part of the team that developed This Climate Does Not Exist!
Fun Fact: My guitar sits on a homemade stand made out of cardboard, and you will never find it tuned in standard tuning!
Canadian / PhD / firstname.lastname@example.org
Broadly speaking, I am interested in safety and AI for good. This includes the development and application of current techniques to address real-world problems, as well as technical and nontechnical work to ensure that future AI systems are beneficial to all. Most recently, I have been leading development of a repository of real-world control tasks, along with techniques for learning dynamics and behaving optimally subject to safety constraints.
Supervisor: Pierre-Luc Bacon
Fun Fact: I love Dance Dance Revolution, and am an increasingly enthusiastic fan of Beat Saber.
Canadian / M.Sc. / email@example.com
My research focuses on how to make machine learning algorithms that can help us understand physics problems. More specifically, predicting the properties of materials before having to perform experiments in a laboratory is a challenge for which artificial intelligence could help in a significant way. These algorithms could greatly accelerate the design process of new materials. I am also interested in studying how machine learning could help us model complex systems evolving in time.
Supervisor : Siamak Ravanbakhsh
Fun Fact: I hosted a radio show in Montréal!
French / PhD / firstname.lastname@example.org
My research interest is about AI vs. Climate change: generative models and practical tools. I am co-leading a project named Visualizing the Impacts of Climate Change, to create vivid and relatable visualizations of the potential climate-related extreme events: floods, smog, wildfire, etc. In October 2021 we released the website: https://thisclimatedoesnotexist.com! I’m also working on CodeCarbon, a project to measure the carbon emissions of ML, and fluid simulations with ML.
Supervisor: Yoshua Bengio
Fun Fact: I tend to spend 3h automating tasks which could have taken me 10 minutes to do manually.