Projects
Patient Recommendation SystemProject Lead: Jordan Hilsman and David Oniani
Description: A System for Recommending Patients
AI and Precision Nutrition
Project Lead: David Oniani
Description: How has AI been used in precision nutrition?
Understanding In-Context Learning
Project Lead: David Oniani
Description: What is In-Context Learning (ICL)? and is there a limit to its capabilities?
Large Language Models for Drug Discovery
Project Lead: David Oniani
Description: Designing creative LLM-based approaches to facilitate drug discovery.
Generative AI Ethics
Project Lead: David Oniani
Description: Ethical principles to guide the use of Generative AI.
Prompting Methods for Large Language Models
Project Lead: David Oniani
Description: Development of AI methods for improving the success rate of LLMs.
Fair Patient Model
Project Lead: Sonish Sivarajkumar
Description: Mitigating Bias in the Patient Representations Learned from Electronic Health Records (EHRs).
Generative Deep Patient
Project Lead: Sonish Sivarajkumar
Description: Foundational AI models and large language models for generative patient embeddings.
Lung Cancer NLP
Project Lead: Sonish Sivarajkumar
Description: NLP and ML algorithms to predict immunotherapy response and metastases prediction on lung adenocarcinoma patients.
Zero-shot Learning for Clinical Natural Language Processing
Project Lead: Sonish Sivarajkumar
Description: The lack of gold standard datasets is the biggest bottleneck for Clinical Natural Language Processing (NLP). This project will apply Zero-Shot Learning (ZSL) approaches to Clinical NLP and develop novel ZSL methods tailored to Clinical NLP.
Automated Fedelity Assessment in Rehabilitation Strategy Training
Project Lead: Hunter Osterhoudt, Maneesh Bilalpur
Description: This project aims to develop automated approaches to automate fidelity assessment during rehabilitation strategy training.