Members – Current

Wan is interested in understanding mechanisms governing disease systems, for devising prevention and intervention strategies.  Trained in environmental engineering, computer science, infectious disease modeling and epidemiology, she applies mathematical modeling and Bayesian inference methods to address a wide range of questions related to both communicable and noncommunicable diseases.

Haokun received her MS in biostatistics from the Mailman School of Public Health and her bachelor’s degree in Economics and Finance from the University of Iowa. She is interested in infectious disease modeling, and her most recent work includes an assessment of the impact of climate factors on influenza transmission in Hong Kong. With Dr. Yang, she is currently working on a project studying the interaction between different respiratory disease viruses at the population level.