Reza Ebrahimi in

Reza Ebrahimi

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AI Researcher at Qualcomm
📍 Toronto, Ontario, Canada

Reza Ebrahimi is an AI Researcher at Qualcomm and a PhD candidate at the University of Toronto. His expertise is in machine learning, probabilistic modeling, and generative models, with a focus on applications in compression and out-of-distribution detection. He earned his Master of Science from the University of Tehran.

His past research at CAMH involved applying machine learning to fMRI data to better understand the neural pathophysiology of Schizophrenia Spectrum Disorders.

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Experience
11 Years
Current Role
AI Researcher
Location
Toronto, Ontario, Canada
Personality Overview

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Priorities

Topics Reza cares about

Generative Models
His PhD research and special interests focus on generative models and their applications in data compression and out-of-distribution detection.
Large Language Models
He has researched length generalization in LLMs at Qualcomm's Neural Reasoning Team and published papers on the limitations of transformers.
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Career

Work history

8-2024
AI Researcher
Qualcomm
9-2018 - 8-2024
PhD Candidate
University of Toronto
6-2023 - 10-2023
AI Research Intern
Qualcomm
9-2016 - 9-2018
Senior Research And Development Engineer
Sarveen Technologies Inc.
9-2013 - 9-2016
Research Assistance
Wireless Multimedia Communication Lab
In the press

Media appearances

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Education
2018 - 2022
Doctor of Philosophy - PhD
University of Toronto
2014 - 2016
Master of Science (MSc)
University of Tehran
Social presence
in
Behavioral profile

DISC profile (public)

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