Current Project
Current Project
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Empathy, safety, and human agency in mental health settings
Related publications:
Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies, under review 2026
When can we trust LLMs in mental health? large-scale benchmarks for reliable LLM evaluation, EACL (Oral), 2026
Position: Beyond Assistance – Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care, ICML, 2025
The FAIIR conversational AI agent assistant for youth mental health service provision, npj digital medicine, 2025
Trainees involved:
Abeer Badawi (Postdoctoral Fellow)
Moyosoreoluwa Olatosi (MA Student)
Shayan Emzad (MSc Student)
Multimodal Deep Learning and Reasoning in VLMs
Related publications:
Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs, 2026
OpenMedReason: Scientific Reasoning Supervision for Medical Vision-Language Models, 2026
Open-pmc-18m: A high-fidelity large-scale medical dataset for multimodal representation learning, MICCAI, 2026
Advancing medical representation learning through high-quality data, MICCAI, 2025
Benchmarking vision-language contrastive methods for medical representation learning, ICML Workshop, 2025
A Shared Encoder Approach to Multimodal Representation Learning, 2025
VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment, 2025
Trainees involved:
Negin Baghbanzadeh (PhD Student)
Most Husne Jahan (PhD Student)
Shayan Emzad (MSc Student)
Model Drift, Capability, and Adaptive Evaluation
Related publications:
Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models, JAMA Network Open, 2025
Empirical data drift detection experiments on real-world medical imaging data, Nature Communications, 2025
Trainees involved:
Sevda Ebrahimi (PhD Student)
Nathan Kabore (MA student)
Negin Baghbanzadeh (PhD Student)
World Models for Biological and Biomedical Systems
Trainees involved:
Asrash Hariri (Postdoctoral Fellow)
AI for Public Health and Surveillance
Related Publications:
A computer vision approach to identifying ticks related to Lyme disease, IEEE Access, 2021
Equity and Fairness
Related Publications:
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