معرفی
Forrest W. Crawford is an Associate Professor Adjunct in Biostatistics at the Yale School of Public Health (YSPH). He holds affiliations with the Computational Biology and Bioinformatics Program, the Center for Biomedical Data Science, and the Public Health Modeling initiative. His research focuses on mathematical and statistical methods for discrete structures and stochastic processes, with applications in epidemiology, public health, biomedicine, and evolutionary science.
Dr. Crawford earned his PhD and MS in Biostatistics from the University of California, Los Angeles (2012 and 2009). His work bridges statistical theory and applied public health challenges, emphasizing network analysis, infectious disease modeling, and computational methods. He leads the Crawford Lab, which develops tools for understanding complex systems like opioid epidemics, HIV transmission dynamics, and pandemic response strategies.
Key research interests include:
- Network-based epidemiological modeling
- Causal inference under contagion
- Public health data science
- Statistical methods for hidden populations
- Stochastic processes in biological systems
Recent work includes studies on fentanyl-related mortality trends in Connecticut, SARS-CoV-2 transmission dynamics, and vaccine efficacy analyses. His interdisciplinary collaborations span public health, computer science, and mathematics.
Dr. Crawford has advised numerous research initiatives and contributed to pandemic response efforts through real-time modeling. His lab's projects include software development for public health surveillance (e.g., the covidestim tool) and methodological advancements in respondent-driven sampling for hidden populations.
Professional affiliations include the American Statistical Association, Society for Mathematical Biology, and editorial roles in statistical and epidemiological journals.
