Shedding Hub Team

Photo of Till Hoffmann

Till Hoffmann

I develop affordable, equitable public health monitoring solutions that impose a minimal burden on the population. My research connects models with complex, often messy real-world datasets, such as data not originally intended for research purposes. I am particularly interested in open and reproducible science based on data that adheres to the principle of privacy by design—without compromising the insights we can glean.

Previously, I was a Postdoctoral Research Associate at Imperial College London, Staff Research Scientist at Spotify, and Principal Research Scientist at Sonalytic. I received my PhD from Imperial College London under the supervision of Nick S. Jones and Master of Physics from the University of Oxford.

Photo of Yuke (Andrew) Wang

Yuke (Andrew) Wang

My research interests span the areas of exposure assessment, wastewater surveillance, and infectious disease transmission. A common thread in his research is in understanding the human-environment interface with respect to infectious diseases. I design, develop, and evaluate statistical and mathematical models to support evidence-informed public health decision-making in low- and middle-income countries (LMICs) and in the United States.

I am an Investigator of the Emory Center for Infectious Disease Modeling & Analytics and Training Hub (CIDMATH) and a Core Investigator at the Center for Global Safe Water, Sanitation, and Hygiene (CGSW).

Photo of Fiona Xiao

Fiona Xiao

Fiona is originally from Beijing, China, and is currently completing a Bachelor of Science in Quantitative Sciences and Biology at Emory University, with an expected graduation in 2025. She is passionate about infectious disease modeling and evolutionary biology.

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Lejun Shen

Lejun is a first-year master’s student in the Department of Biostatistics and Bioinformatics at Emory University. She received her BS in Actuarial Science and Mathematics, with a minor in Computer Science. She is passionate about data analysis and statistical methodology, with a primary interest in generalized linear models, classification, and the application of deep learning techniques to public health and biomedical data.

Photo of Zirui Chen

Zirui Chen

Zirui is from Shenzhen, China, and is currently a first-year master’s student in the department of Biostatistics and Bioinformatics at Emory University. She is passionate about bioinformatics and statistical analysis. She also used Bayesian analysis to complete some projects using public health and biological data.

Photo of Youwei Hu

Youwei Hu

  • Master's Student
  • Emory University
  • @hww228

Youwei, originally from Suzhou, China, is currently pursuing a graduate degree in Biostatistics at Emory University, with an expected graduation in 2026. She holds a Bachelor of Science in Financial Mathematics from the Department of Mathematics and Physics. Her interests include data science and machine learning, where she is driven by a passion for applying analytical techniques to solve complex problems.

Photo of Siyu Zhai

Siyu Zhai

  • Master's Student
  • Emory University
  • @LivZHAI

Siyu is currently a first-year master’s student in the Biostatistics department at the Rollins School of Public Health, Emory University. She earned her bachelor’s degree in Financial Mathematics from Suzhou, China. She is dedicated to advanced statistical analysis and methodologies, as well as the application of machine learning in the field of public health.

Photo of Haisu Zhang

Haisu Zhang

Haisu is a second-year PhD student in the Gangarosa Department of Environmental Health at Emory University, where he also earned his MS in Epidemiology. His research focuses primarily on environmental epidemiology, with previous work exploring the health impacts of air pollution and extreme heat. He also wants to gain more experience in different statistical methods and data processing techniques.