People

Faculty & Staff & Postdoc

An image of Mark Ezema
Mark Ezema
AI Engineer
(Mar 2023)
Works on AI for combating human trafficking in Canada
An image of Farimah Poursafaei
Farimah Poursafaei
Data Scientist @ Mila
(Fall 2024)
Machine Learning on Temporal Graphs
An image of Maximilian Puelma Touzel
Maximilian Puelma Touzel
Research Associate
(Fall 2024)
Research scientist in human and machine social decision-making for social impact
An image of Taylor Lynn Curtis
Taylor Lynn Curtis
Software Developer
(September 30, 2024)
Works on AI Misinformation Mitigation
An image of Andreea Musulan
Andreea Musulan
Postdoc
(Fall 2024)
Works on malicious coordinated activity online

Students

PhD

An image of Aarash Feizi
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.
An image of Shenyang (Andy) Huang
Shenyang (Andy) Huang
Advised by: Reihaneh Rabbany, Guillaume Rabusseau
(Fall 2019)
Working temporal graph learning and graph learning applications for real world.
An image of Kellin Pelrine
Kellin Pelrine
Advised by: Reihaneh Rabbany, Jean-François Godbout
(Fall 2020)
AI Safety, AI Agents. Towards transformative, positive impact from generative AI.
CTO @ Stitch, Research Advisor @ FAR.AI
An image of Pratheeksha Nair
Pratheeksha Nair
Advised by: Reihaneh Rabbany
(Fall 2020)
AI for social good applications - fighting online organized crime; Weak Supervision and Graph Machine Learning
An image of Zachary Yang
Zachary Yang
Advised by: Reihaneh Rabbany
(Winter 2021)
Working on applied NLP for social good - toxicity, misinformation, polarization
Fast tracked from Masters to PhD
An image of Victor Livernoche
Victor Livernoche
Advised by: Reihaneh Rabbany
(Fall 2024)
Working on generative AI

Masters

An image of Elahe Kooshafar
Elahe Kooshafar
Advised by: Reihaneh Rabbany
(Fall 2022)
Working on Graph Representation Learning and Applications, Graph Neural Networks, Deep Learning, and Network Science.
An image of Sahar Omidi Shayegan
Sahar Omidi Shayegan
Advised by: Reihaneh Rabbany, Isar Nejadgholi @ NRC
(Fall 2022)
Studies Social Networks through Graphs and Language Modeling
An image of Soroush Omranpour
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.
An image of Shahrad Mohammadzadeh
Shahrad Mohammadzadeh
Advised by: Reihaneh Rabbany, Doina Precup
(Fall 2023)
LLMs, RL, and Graph Learning

Undergraduate

Intern


Past Members

Faculty & Staff & Postdoc

An image of Farimah Poursafaei
Farimah Poursafaei
Postdoc
(Fall 2022)
Machine Learning on Temporal Graphs
➡️ Data Scientist @ Mila

Alumni

PhD

An image of Farimah Poursafaei
Farimah Poursafaei
Advised by: Zeljko Zilic, Reihaneh Rabbany
(Fall 2017)
Machine Learning on Temporal Graphs
➡️ Data Scientist @ Mila

Masters

An image of Albert Orozco
Albert Orozco
Advised by: Reihaneh Rabbany
(Fall 2019-Summer 2021)
Interested in all things related to social network interactions.
➡️ PhD @ Concordia University
An image of Junhao Wang
Junhao Wang
Advised by: Reihaneh Rabbany
(Fall 2019-Winter 2021)
Interested in graph mining and reinforcement learning
➡️ Microsoft
An image of Xiaoye (Charlotte) Ding
Xiaoye (Charlotte) Ding
Advised by: Reihaneh Rabbany
(Fall 2019-Summer 2021)
Interested in graph representation learning and network science.
➡️ SDE II @ AWS
An image of Jacob Danovitch
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

An image of Heather Bosiljevac
Heather Bosiljevac
Advised by: Reihaneh Rabbany
(Summer 2019-Fall 2019)
➡️ Senior Advisor, Competitive Analytics @ Bell
An image of Sacha Lévy
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
An image of Yifei Li
Yifei Li
Advised by: Reihaneh Rabbany
(Summer 2020)
Interested in data mining and NLP, worked on entity extraction in online escort ads.
➡️ Masters @ UBC
An image of Jacob-Junqi Tian
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
An image of Hao Yu
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

Interns

An image of Raika Karimi
Raika Karimi
Hosted by:
(Winter 2020-Winter 2021)
➡️ Machine Learning Researcher @ Huawei


Updating the website

If you are part of the Complex Data Lab, please head to the GitHub repository, for instructions on adding/updating your publications, creating/updating your profile, updating other parts of the website and etc.