
People
Faculty & Staff & Postdoc


Maximilian Puelma Touzel
Research Associate
(Fall 2024)
Research scientist in human and machine social decision-making for social impact


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.

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

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
Intern
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
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
Interns

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.