معرفی
Wade Schulz, MD, PhD, is an Assistant Professor of Laboratory Medicine at Yale School of Medicine and Director of Informatics for the Department of Laboratory Medicine. He holds secondary appointments in Biomedical Informatics & Data Science. His expertise includes molecular diagnostics, transfusion medicine, and computational health care research, with a focus on leveraging large biomedical datasets for predictive modeling and precision medicine. Schulz leads initiatives in distributed data analysis platforms and has been recognized with the IBM Cognitive Honors Award for his work in data science.
Education & Training:
- BS in Genetics & Microbiology (2006), University of Minnesota
- PhD in Microbiology, Immunology & Cancer Biology (2012), University of Minnesota
- MD (2014), University of Minnesota Medical School
- Residency in Clinical Pathology (2017), Yale School of Medicine
- Fellowship in Transfusion Medicine (2018), Yale School of Medicine
Research Interests: Developing AI-driven tools for medical diagnostics, optimizing electronic health record (EHR) data utilization, and advancing computational phenotyping for disease prediction. His work bridges informatics with clinical practice, emphasizing real-world data applications in healthcare innovation.
Key Projects:
- Implementation of predictive modeling platforms for precision medicine
- Development of the Kamino architecture for scalable medical AI research
- Collaborations in quantum computing for healthcare applications
- Evaluation of SARS-CoV-2 variant transmission and vaccine efficacy
Awards: Data Summit IBM Cognitive Honors Award (2023).
Grants & Labs: Leads the CORE Center for Computational Health and collaborates with the Center for Outcomes Research & Evaluation (CORE). Active in the Yale Center for Genomic Health and the Biomedical Informatics & Data Science program.
