David P. Ng, MD, FCAP, BSEE

Languages Spoken: English

Dr. Ng is an assistant professor of pathology at the University of Utah school of Medicine. He received his undergraduate degree at the University of Illinois at Urbana-Champaign in Electrical Engineering specializing in signal and image processing before attending medical school at the University of Illinois at Chicago. He completed an Anatomic and Clinical Pathology residency at Dartmouth-Hitchcock Medical Center followed by a fellowship in Hematopathology at the University of Washington. He is board certified in anatomic and clinical pathology (AP/CP) and hematopathology by the American Board of Pathology and was the 2014 ICCS Janis Giorgi Young Investigator Award winner. From 2015 to 2019, he was a hematopathologist and associate director of the flow cytometry lab at PhenoPath Laboratories in Seattle, WA. His research interests include high dimensional flow data analysis, machine learning, natural language processing, minimal residual disease testing, and applications of 10+ color flow in the clinical flow cytometry lab.

Dr. Ng is an assistant professor of pathology at the University of Utah school of Medicine. He received his undergraduate degree at the University of Illinois at Urbana-Champaign in Electrical Engineering specializing in signal and image processing before attending medical school at the University of Illinois at Chicago. He completed an Anatomic and Clinical Pathology residency at Dartmouth-Hitchcock Medical Center followed by a fellowship in Hematopathology at the University of Washington. He is board certified in anatomic and clinical pathology (AP/CP) and hematopathology by the American Board of Pathology and was the 2014 ICCS Janis Giorgi Young Investigator Award winner. From 2015 to 2019, he was a hematopathologist and associate director of the flow cytometry lab at PhenoPath Laboratories in Seattle, WA. His research interests include high dimensional flow data analysis, machine learning, natural language processing, minimal residual disease testing, and applications of 10+ color flow in the clinical flow cytometry lab.