Will Machine Learning and Natural Language Processing solve Healthcare’s Data Challenges?

Umit Topaloglu, Ph.D., FAMIA is an Associate Professor of Cancer Biology & Biostatistics and
Data Science. He currently serves as the Associate Director for the Center for Biomedical
Informatics, CTSI Informatics Program, and the Wake Forest Baptist Comprehensive Cancer
Center. His research involves secondary use of clinical data utilizing Natural Language
Processing (NLP) and Machine Learning (ML) approaches. Particularly, collaborative ML and
Federated Learning implementations in healthcare settings in a privacy preserving manner. He
also focuses on creating research informatics roadmaps, provide strategic planning that
encompasses enterprise data warehousing, Data Governance, and participation to the data
sharing networks. Some of his involvements include leading the enterprise NLP pipeline and
elastics search implementation at Atrium Health Wake Forest Baptist, serving in the AACR
Genomics Evidence Neoplasia Information Exchange (GENIE) executive committee, and co-
leading the National COVID Cohort Collaborative (N3C) Oncology Domain Team. N3C is an
OMOP based platform to which many institutions deposit harmonized EHR data.