Research

Research Projects

NIH Bridge2AI Cell Maps For AI (CM4AI) Data Generation Project: Teaming Module

Genotype-Phenotype Learning Team Science Knowledge Graph

Maps human cell architecture to enhance genotype-phenotype learning. Develops a Talent Knowledge Graph to integrate diverse expertise and ethical AI considerations. Funded by NIH's Bridge2AI program.

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NIH Aim-Ahead: Use AI/ML to Address Behavioral Health Crises of Black Youth

Behavioral Health AI/ML Youth Mental Health

Develops AI methods to reduce suicide rates among Black youth by identifying social risks and building trust in AI applications.

Funded by

NSF Convergence: DREAM-KG: Develop Dynamic, REsponsive, Adaptive, and Multifaceted Knowledge Graphs to address homelessness with Explainable AI

Explainable AI Health Informatics AI/NLP

Creates a knowledge graph to understand and address homelessness, leveraging AI for better resource allocation and service delivery.

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NSF I-Corps: Contextualization of Explainable Artificial Intelligence (AI) for Better Health

Exlainable AI Fair AI Crisis Response

Develops explainable AI methods for healthcare to improve trust and compliance, enhancing personalized care and meeting regulatory requirements.

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NIH RO1: Closing the loop with an automatic referral population and summarization system. Improve Referral Process Between Primary Care Physicians and Specialists

Referral Process AI Ethical AI

Uses AI and NLP to automate and improve referral forms between primary care physicians and specialists, reducing errors and costs.

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NSF-CSIRO: Graph Representation Learning for Fair Teaming in Crisis Response

Graph Learning AI Genotype-Phenotype

Develops fair AI models for forming inclusive scientific teams during disease outbreaks, focusing on fairness and cross-disciplinary education.

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Memory: Reminiscence Therapy Delivered by Retrieval-Augmented LLM Agents for the Memory Reactivation of Socially Isolated Senior Immigrants

Aging Chatbot Memory Reactivation