Master’s graduate Akhlaqur Rahman Sabby has a paper accepted by TMLR 2026.
Applied Machine Learning Research Lab
Advancing intelligent systems that learn, adapt, and align with people.
We investigate machine learning, representation learning, human preferences, and trustworthy AI, connecting foundational research with real-world applications.
Research directions
Explore all →Our mission
Research with real-world purpose.
DAMLR brings together industrial partners and research institutes to advance theoretical machine learning and AI. Through a multidisciplinary approach, we develop robust methods that push the boundaries of AI while remaining safe, interpretable, and beneficial in practice.
Research areas: machine learning and large-scale data analysis, artificial intelligence, information retrieval, social media, recommender systems, AI support for mental health, autopilot systems, and other large-scale ML applications.
Latest updates
PhD student Naihe Feng has a paper accepted by NeurIPS 2026.
Master’s student Matthew Young has a paper accepted by TMLR 2026.
Undergraduate researcher Zhiyuan Su has a paper accepted by ICML 2026.
Postdoctoral researcher Mahtab Sarvmaili is appointed Assistant Professor at the University of New Brunswick.
Master’s student Naihe Feng has a paper accepted by SIGIR 2025.
The lab succeeds in the NSERC Research Tools and Instruments competition.
A research project with Harrison Healthcare receives a Mitacs Elevate grant.
PhD candidate and postdoctoral researcher Mahtab Sarvmaili has a paper accepted by ICLR 2025.
A research project with Obruta Space Solutions receives a Mitacs Elevate grant.
A lab project receives support from the Transforming Climate Action research program.