Bahareh Tolooshams

Area of Study / Keywords

Artificial Intelligence Machine Learning Representation Learning Generative Models Interpretability Inverse Problems NeuroAI Signal Processing Software Engineering and Intelligent Systems

About

I am the PI of NeuBahar Lab (Neuro–Bayesian AI for Human-interpretable Abstractions and Representation Learning).

We are hiring. Check out the lab's website.

Education

- PhD, Electrical Engineering Engineering Sciences, Harvard University, 2023

- BASc, Electrical Engineering, University of Waterloo, 2017

Past employment (since 2019)

- Postdoc, California Institute of Technology (Caltech), 2023 - 2025

- Research Intern, Microsoft, 2021

- Applied Scientist Intern, Amazon AI - AWS, 2019

How to pronounce my name? (Check here)

Research

Check out the lab website https://btolooshams.github.io

My research group is recruiting MSc and PhD students.

CMPUT 499 - Topics in Computing Science

This topics course is designed for a one on one individual study course between a student and an instructor. Prerequisites for each section may differ and are defined by the instructor in the course outline.

ECE 447 - Data Analysis and Machine Learning for Engineers

The course introduces basic concepts and techniques of data analysis and machine learning. Topics include: data preprocessing techniques, decision trees, nearest neighbor algorithms, linear and logistic regressions, clustering, dimensionality reduction, model evaluation, deployment methods, and emerging topics. Prerequisites: ECE 220 or CMPUT 275, and ECE 342 or STAT 235, or consent of instructor.

ECE 720 - Advanced Topics in Software Engineering and Intelligent Systems

Browse more courses taught by Bahareh Tolooshams