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Shared Core

MEDAI Core

Medical AI & Data Science shared resource

The MEDAI (Medical AI & Data Science) Core is the Center’s technical engine: it curates and harmonizes clinical, imaging, and multi-omics data, then builds and applies AI/ML and large-language-model methods so investigators can take on problems that were not solvable before.

Services include data curation, de-identification, and harmonization; AI/ML model development and interpretation; LLM/NLP methods for clinical text; imaging analysis and deep-learning computer vision; and hands-on ML/AI workshops for students and staff across the projects.

Core Directors

Yuanyuan Fu, PhD

MEDAI Core Co-Director

Peter Sadowski, PhD

MEDAI Core Co-Director

Staff & Trainees

• Thomas Wolfgruber, PhD
  Data & Infrastructure Manager · Software Engineer / Researcher, UHCC

  Integrates HIPIMR and other large datasets; de-identification and preprocessing; imaging analyses.

• Vedbar Khadka, PhD
  Senior AI Modeling Scientist · Assistant Specialist, JABSOM

  Develops and applies advanced AI models; interprets results; guides core users.

• Yujia Qin, PhD
  Data Scientist, Education · Senior Data Scientist for Education, JABSOM

  Designs and delivers ML/AI workshops and tutorials; supports multi-omics integration.

• Zhanwei Wang, PhD
  Lead Data Curator & Integration Scientist · JABSOM

  Curates and harmonizes omics, clinical, and imaging data for AI/ML; database management.

• Abdur Rasool, PhD
  Lead LLM Data Scientist · Postdoctoral Fellow

  Implements NLP methods for project leaders; fine-tunes and deploys LLMs; integrates NLP into the core.

• Arianna Bunnell, MS
  Graduate Assistant · Graduate student, UH

  Imaging models, neural networks, and data preprocessing for project leaders.

• Isam Ibrahim
  Graduate Research Assistant · PhD candidate, Quantitative Health Sciences, UH

  Integrates models, data, and analyses; AI/ML processing; database management.