Bahare Fatemi (she/her)

Research Scientist at Google Research

I'm a research scientist at Google Research. I obtained my PhD at the University of British Columbia under the supervision of Prof. David Poole. My focus of research is relational learning and graph representation learning. I interned at Google Research, Facebook AI Research, Borealis AI, and Element AI. Before starting my PhD, I did my MSc at UBC working on relational learning for information retrieval.

Please download my CV from here.

Work Experience

August 2022 - ongoing

Research Scientist

Google Research

Graph mining team.

Montreal, Canada

December 2021 - March 2022

Research Intern

Google Research

Research on multi-hop reasoning for open-domains.

Supervisora: Deepak Ramachandran and Annie Louis.

Montreal, Canada

June 2021 - November 2021

Research Intern

Facebook AI Research

Research on knowledge-based recommender systems.

Supervisor: Adriana Romero-Soriano.

Montreal, Canada

June 2020 - October 2020

Research Intern

Borealis AI

Research on structure learning for Graph Neural Networks.

Supervisor: Layla El Asri.

Montreal, Canada

November 2018 - May 2020

Research Intern

Element AI

Research on representation learning for knowledge (hyper)graphs.

Supervisors: David Vazquez Bermudez and Perouz Taslakian.

Montreal, Canada

July 2016 - September 2017

Machine Learning Contractor


Designed a probabilistic entity-resolution model for searching TELUS billing accounts.

Supervisor: Mike Tyndall.

Vancouver, Canada


2017 - 2022

Ph.D. in Computer Science, University of British Columbia

Research Area: Relational Reasoning, Graph Representation Learning.

Supervisor: Prof. David Poole

Vancouver, Canada

2015 - 2017

M.Sc in Computer Science, University of British Columbia

Research Area: Machine Learning, NLP, Information Retrieval.

Supervisor: Prof. David Poole

Vancouver, Canada

2011 - 2015

B.Sc. in Computer Engineering, Amirkabir University of Technology

Thesis: Efficient elimination ordering for inference in probabilistic graphical models.

Supervisor: Prof. Shahram Khadivi

Tehran, Iran