Daniel Skomski

Daniel Skomski is a Principal Scientist at Merck & Co Inc in Digital Technologies for Pharmaceutical Analysis. He received his PhD in Materials Chemistry from Indiana University. At Merck he has worked on diverse modalities in small molecules, biologics, vaccines, and long-acting delivery. His current focus areas are predictive stability modeling and computer vision-based image analytics. He co-chairs an IQ industry consortium working group on predictive stability and has authored >30 peer-reviewed journal manuscript publications.