Officers

Past Chair:

Patrick Gurian

is a Professor in the Department of Civil, Architectural, and Environmental Engineering. He holds a doctoral degree in Engineering & Public Policy and Civil & Environmental Engineering from Carnegie Mellon University. Patrick generally works at the intersection of microbial risk assessment and decision analysis. His previous work includes studies of how to manage risks from bioterrorism, risks associated with the beneficial reuse of biosolids, and risks from Legionella growth in building plumbing systems. He is an editorial board member for AWWA Water Science

plg28@drexel.edu | LinkedIn Profile | Drexel University Profile | ResearchGate | Google Scholar | Twitter

Vice Chair:

Alexis Layman Mraz is an Assistant Professor in the Department of Public Health at The College of New Jersey. She holds a PhD in Environmental Health with a minor in Epidemiology from The Ohio State University, a M.S. in Environmental Science, and a B.S. in Biology from Drexel University. Her research focuses on environmental microbiology with an emphasis on risk assessment. Her research interests include:

• Health risks associated with recreating in combined-sewer-overflow influenced surface waters
• Opportunistic pathogens in premise plumbing systems
• Pathogen-host interactions in biofilms

mraza@tcnj.edu | LinkedIn Profile | ResearchGate Profile | The College of New Jersey Profile

Senior Secretary:

Hao Pang

Dr. Hao Pang is currently a Biologist – Risk Modeler with the Food and Drug Administration (FDA) Center for Food Safety and Applied Nutrition (CFSAN). Prior to joining FDA-CFSAN’s Risk Analysis Branch of Division of Risk and Decision Analysis within Office of Analytics and Outreach, Dr. Pang earned a M.S. and a Ph.D. degree in Nutrition & Food Science from University of Maryland. Dr. Hao Pang’s research focuses on developing risk-based tools that synthesize a wide diversity of data and information from different domains to provide a multi-faceted understanding of food safety risks, influencing factors, and the potential impact of current and proposed mitigations and controls to reduce the risk. His expertise includes quantitative microbial risk assessment, data analytics and visualization, machine learning, and multi criteria decision analysis.