I am the PI of NeuBahar Lab (Neuro–Bayesian AI for Human-interpretable Abstractions and Representation Learning). I am an Assistant Professor at the University of Alberta, an Alberta Machine Intelligence Institute (Amii) Fellow, and a Canada CIFAR AI Chair. I am also a member of the Neuroscience and Mental Health Institute (NMHI). I received my PhD in May 2023 from the School of Engineering and Applied Sciences at Harvard University, where I was also affiliated with the Center for Brain Science. Before joining the University of Alberta, I was a postdoctoral researcher and held the Swartz Foundation Fellowship Theoretical in Neuroscience for two years at the AI for Science Lab at the California Institute of Technology (Caltech). During my PhD, I also worked at Amazon AI and Microsoft as a Research Intern. I have a BASc degree with distinction from the Department of Electrical and Computer Engineering at the University of Waterloo.

Check out my Keynote talk on Interpretability in Artificial Intelligence at Upper Bound Conference.