September 2025: Happy to announce that my paper, Cross-Temporal Attention Fusion (CTAF) for Multimodal Physiological Signals in Self-Supervised Learning, has been accepted to the Data on the Brain & Mind NeurIPS 2025 workshop
September 2025: Nominated to serve as a reviewer at the AISTATS 2026, ICLR 2026, and Northern Lights Deep Learning (NLDL) 2026 main conferences, as well as NeurIPS 2025 Workshop on Data on the Brain & Mind, and NeurIPS 2025 Workshop on Efficient Reasoning (ER)
September 2025: Will be serving as a Teacher Assistant (TA) for the Data Science Course (IFT_6758) in the Fall 2025 semester at the Department of Computer Science and Operational Research (DIRO) of the University of Montreal and Mila-Quebec AI Institute, working with Prof. Glen Berseth and Dr. Vincent Taboga, and the Fundamental of Machine Learning (IFT-6390) for the fifth time, working with Prof. Ioannis Mitliagkas and Prof. Dhanya Sridhar.
August 2025: Thrilled to serve as an ethical reviewer and a reviewer for NeurIPS 2025 Position Paper Track
May 2025: Served as a reviewer and ethical reviewer at the main COLM 2025
Spring 2025: Served as a reviewer at (1) Workshop on Actionable Interpretability at ICML 2025, (2) Efficient Systems for Foundation Models workshop at ICLM 2025, (3) Foundation Models for Structured Data workshop at ICML 2025, and (4) First Workshop for Research on Agent Language Models (REALM) at ACL 2025
Spring 2025: Awarded the UpperBound 2025 Talent Bursary scholarship worth $1500 (CAD) provided by Alberta Machine Intelligence Institute (AMII) in Edmonton, Alberta
Spring 2025: Thrilled to announce that I have been nominated as a Noteable reviewer at ICLR 2025
Spring 2025: My first, first-author paper, STREAM: Self-Supervised Task-Responsive EEG Architecture for Mental-State Estimation, has been accepted and presented at the NeuroIS 2025 retreat
Winter 2025: I joined the Tech3Lab at the HEC University in Montreal, Quebec as a Research Assistant to work on Self-Supervised Learning Multi-Modal EEG brain signals alignment, under the supervision of Prof. Théophile Demazure
Winter 2025: Served as a Teacher Assistant for the Introduction of Machine Learning Course (IFT-6390A/3395) at the Department of Computer Science and Operational Research (DIRO) of the University of Montreal and Mila-Quebec AI Institute, working with Dr. Vincent Taboga
Fall 2024: Appointed as Applications Evaluator for the Summer School in Responsible AI and Human Rights at Mila-Quebec AI Institute, contributing to the advancement of ethical AI practices on a global scale
Fall2024: Served as a reviewer at the main ICML 2025 conference
Fall 2024: Contributed to the General-Purpose Brain Foundation Models for Time-Series Neuroimaging Data paper, which was accepted as a poster presentation at the TSALM NeurIPS 2024 workshop!
Fall 2024: Served as a reviewer at (1) NeurIPS 2024 Workshop Compression, (2) NeurIPS 2024 Workshop CaLM, (3) NeurIPS 2024 Workshop SafeGenAi, (4) NeurIPS 2024 First Workshop on Creativity and Artificial Intelligence, (5) NeurIPS 2024 Workshop Algorithmic Fairness through the Lens of Metrics and Evaluation, (6) NeurIPS 2024 Workshop Socially Responsible Language Modelling Research (SoLaR), and (7) Montreal AI Symposium 2024!
Fall 2024: Served as a Head-Teacher Assistant for the Introduction of Machine Learning Course (IFT-6390) at Mila-Quebec AI Institute, working with Professors Ioannis Mitliagkas and Dhanya Sridhar
Fall 2024: Presented Lag-Llama paper in Dr. Anna Goldenberg's lab at Vector Institute remotely
Fall 2024: Served as a reviewer at (1) ICLR 2025 and (2) AISTATS 2025 main conferences
Summer 2024: Served as an ethical reviewer at NeurIPS 2024
Spring 2024: My master's thesis, Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach, was approved with the Highest Grade of Excellent
Spring 2024: Served as a reviewer at the (1) Machine Learning for Life and Material Science (ML4LMS), and (2) Efficient Systems for Foundation models (ES-FoMo) workshops of ICML 2024
Spring 2024: Served as a reviewer at the First International Workshop on AI Governance (IJCAI 2024 Workshop AIGOV)
Spring 2024: Accepted into the CIFAR Deep Learning and Reinforcement Learning (DLRL) summer school that will take place in Vector Institute in Toronto on July 2024
Winter 2024: Served as a reviewer at the main ICML 2024 conference
Fall 2023: Contributed to " Lag-Llama: a path towards foundation models for time series forecasting " which is accepted to the NeurIPS RO-FoMo workshop
Fall 2023: Served as a reviewer of the NeurIPS 2023 RO-FoMo workshop, the Robustness of Few-Shot and Zero-Shot Learning in Foundation Models
Fall 2023: Served as a Teacher Assistant at the Department of Computer Science and Operational Research (DIRO) of the UdeM and Mila - Quebec AI Institute in Fundamentals of Machine Learning (IFT-6390B) with Professor Ioannis Mitliagkas and Guillaume Rabusseau
Spring 2023: Awarded the UpperBound Talent Bursary scholarship worth $1500 (CAD) to attend the UpperBound 2023 provided by Amii in Edmonton, Alberta
Fall 2022: Served as a Teacher Assistant at the Department of Computer Science and Operational Research (DIRO) of the UdeM in Data Structure as an undergraduate course with Professor Stefan Monnier
Fall 2022: Served as a Teacher Assistant at the Department of Computer Science and Operational Research (DIRO) of the UdeM in Web Design and Development as an undergraduate course with Professor Amal Ben Abdellah
Fall 2022: Served as a Teacher Assistant at Mila - Quebec AI Institute in Introduction to Machine Learning as a graduate course, with Professor Ioannis Mitliagkas and Professor Guillaume Rabusseau
Fall 2022: Served as a Teacher Assistant at Mila - Quebec AI Institute in Representation Learning as a graduate course, with Professor Aishwarya Agrawal
Spring 2022: Awarded the DIRO and Quebec Ministry of Higher Education international students scholarship worth $4,000 (CAD)
Winter 2022: Served as a Teacher Assistant at Mila - Quebec AI Institute in Neural Scaling Laws as a graduate course, working with Professor Irina Rish
September 2021: Served as a Teacher Assistant at the University of Montreal, Department of Computer Science and Operational Research (DIRO) in some undergraduate courses such as Data Structure Algorithm, Programming 1, Internet and Web Design
Winter 2021: I joined Mila - Quebec AI Institute as a master's student advised by Professor Irina Rish
Winter 2021: I joined CHU Sainte_Justine Research Center as a master's advised by Professor Simon de Montigny
Winter 2021: I joined the University of Montreal, Department of Computer Science and Operational Research (DIRO) as a master's research-based student