Faculty & Staff & Postdoc
Maximilian Puelma Touzel
Research Associate
(Fall 2024)
Research scientist in human and machine social decision-making for social impact
Sitao Luan
Postdoc
(June 2025)
Work on Graph Learning, LLM Reasoning, AI4Science
Feel free to contact me for discussion and collaboration
Students
PhD
Aarash Feizi
Advised by:
Reihaneh Rabbany, Adriana Romero Soriano
(Fall 2019)
Works on multi-modal self-supervised learning and applied machine learning techniques in CV and NLP for social good with real-world impacts.
Shenyang (Andy) Huang
Advised by:
Reihaneh Rabbany, Guillaume Rabusseau
(Fall 2019)
Working temporal graph learning and graph learning applications for real world.
Pratheeksha Nair
Advised by:
Reihaneh Rabbany
(Fall 2020)
AI for social good applications - fighting online organized crime; Weak Supervision and Graph Machine Learning
Zachary Yang
Advised by:
Reihaneh Rabbany
(Winter 2021)
Working on applied NLP for social good - toxicity, misinformation, polarization
Fast tracked from Masters to PhD
Masters
Elahe Kooshafar
Advised by:
Reihaneh Rabbany
(Fall 2022)
Working on Graph Representation Learning and Applications, Graph Neural Networks, Deep Learning, and Network Science.
Sahar Omidi Shayegan
Advised by:
Reihaneh Rabbany, Isar Nejadgholi @ NRC
(Fall 2022)
Studies Social Networks through Graphs and Language Modeling
Soroush Omranpour
Advised by:
Reihaneh Rabbany, Guillaume Rabusseau
(Fall 2022)
Working on building scalable and efficient machine learning models for tensor-structured or highly complex and evolving data.
Shahrad Mohammadzadeh
Advised by:
Reihaneh Rabbany, Doina Precup
(Fall 2023)
LLMs, RL, and Graph Learning
Undergraduate
Andrey Ambartsumov
Advised by:
Victor Livernoche, Reihaneh Rabbany
(Winter 2026)
Generative AI, Graph Learning, Deep Learning
Intern
Aurélien Bück-Kaeffer
Hosted by:
(Feb 2025)
Into RL, currently working on an accurate social media simulation using LLMs
Andrew Lin
Hosted by:
Pratheeksha Nair, Reihaneh Rabbany
(Winter 2026)
Working on improving LLMs as Fact-Checkers
Taimaa Kassab Bachi
Hosted by:
Victor Livernoche, Reihaneh Rabbany
(January 2026)
Past Members
Faculty & Staff & Postdoc
Alumni
PhD
Farimah Poursafaei
Advised by:
Zeljko Zilic, Reihaneh Rabbany
(Fall 2017)
Machine Learning on Temporal Graphs
➡️ Data Scientist @ Mila
Kellin Pelrine
Advised by:
Reihaneh Rabbany
(Fall 2022)
AI Security, AI Agents. Cross-functional solutions on a foundation of technical research.
➡️ Research Scientist @ FAR.AI
Masters
Albert Orozco
Advised by:
Reihaneh Rabbany
(Fall 2019-Summer 2021)
Interested in all things related to social network interactions.
➡️ PhD @ Concordia University
Junhao Wang
Advised by:
Reihaneh Rabbany
(Fall 2019-Winter 2021)
Interested in graph mining and reinforcement learning
➡️ Microsoft
Xiaoye (Charlotte) Ding
Advised by:
Reihaneh Rabbany
(Fall 2019-Summer 2021)
Interested in graph representation learning and network science.
➡️ SDE II @ AWS
Jacob Danovitch
Advised by:
Reihaneh Rabbany
(Fall 2020-Summer 2023)
Interested in the intersection of natural language processing and network science, with a focus on social media.
➡️ Data & Applied Scientist II @ Microsoft
Undergraduate
Heather Bosiljevac
Advised by:
Reihaneh Rabbany
(Summer 2019-Fall 2019)
➡️ Senior Advisor, Competitive Analytics @ Bell
Sacha Lévy
Advised by:
Reihaneh Rabbany
(Fall 2019-Summer 2023)
Applied ML for social good. I implement data pipelines. I am interested in artificial intelligence, computers and physics.
➡️ Chief Scientific Officer @ Theseus
Yifei Li
Advised by:
Reihaneh Rabbany
(Summer 2020)
Interested in data mining and NLP, worked on entity extraction in online escort ads.
➡️ Masters @ UBC
Jacob-Junqi Tian
Advised by:
Reihaneh Rabbany
(Summer 2022-Fall 2023)
Works on projects related to NLP, LLM, and Reasoning
➡️ Associate Applied Machine Learning Specialist at Vector Institute
Hao Yu
Advised by:
Reihaneh Rabbany
(Fall 2022-Winter 2024)
Interested in LLMs, RAG and Data Mining. Worked on NER in online escort ads and LLMs in detecting misinformation.
➡️ Master (Thesis) @ McGill