Ming An

Ming An is an Associate Professor in the Department of Chemistry at Binghamton University, specializing in organic, bio-organic, medicinal, and pharmaceutical chemistry. His research bridges chemical biology and drug discovery, with a focus on innovative methodologies in network connectivity analysis and uncertainty quantification. He holds a PhD from the University of California, Berkeley and a BS from the University of Michigan, Ann Arbor.

Education

• PhD in Chemistry, University of California at Berkeley
• BS in Chemistry, University of Michigan at Ann Arbor

Research Interests

Dr. An’s work integrates organic synthesis with biological systems, exploring drug discovery pathways through advanced chemical methodologies. His recent projects apply machine learning to network analysis for biological systems and epidemiological modeling, alongside studies in manufacturing process optimization and biomass conversion technologies.

Publications Overview

His articles highlight interdisciplinary approaches: from Bayesian network inference in small datasets to pandemic intervention strategies using control theory. He also investigates machining process uncertainties and biomass pretreatment techniques for biofuel production, demonstrating a commitment to both fundamental and applied research.

Advising & Grants

Currently accepting BCCB graduate students. While specific grants or lab affiliations are not detailed, his research portfolio suggests active engagement in collaborative, cross-disciplinary projects.