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Current Project
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Empathy, safety, and human agency in mental health settings
Related publications:
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
When can we trust LLMs in mental health? large-scale benchmarks for reliable LLM evaluation, under review, 2026
Trainees involved:
Abeer Badawi (Postdoctoral Fellow)
Moyosoreoluwa Olatosi (MA 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)
Multimodal Deep Learning and Reasoning in VLMs
Related publications:
Advancing medical representation learning through high-quality data, MICCAI, 2025
Open-pmc-18m: A high-fidelity large-scale medical dataset for multimodal representation learning, 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)
World Models for Biological and Biomedical Systems
Trainees involved:
Asrash Hariri (Postdoctoral Fellow)
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