Larry Han
Scholar

Larry Han

Google Scholar ID: iZnTmxMAAAAJ
Assistant Professor of Public Health and Health Sciences, Northeastern University
Causal InferenceFederated LearningSurvival AnalysisInfectious Diseases
Citations & Impact
All-time
Citations
2,013
 
H-index
24
 
i10-index
40
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications: JRSS-A, JAMA Oncology, ICML 2025, JAMA Network Open, Biostatistics, Journal of the American Statistical Association; Funded Project: NIH K01 funded 'Causal Machine Learning Methods to Study Individual Vaccine Efficacy Using Multi-Source Data'; Talks: Methods Workshop at Brandeis-Harvard SPIRE Center; Discussant: Harvard Data Science Initiative Causal Seminar.
Research Experience
  • Assistant Professor of Biostatistics in the Department of Public Health and Health Sciences at Northeastern University and an Affiliate Investigator in the Vaccine and Infectious Disease Division at the Fred Hutch Cancer Center.
Education
  • PhD in Biostatistics from Harvard University, advised by Tianxi Cai and Lorenzo Trippa; Postdoc in Health Care Policy at Harvard Medical School, mentored by Sharon-Lise Normand; AM in Biostatistics from Harvard; MPhil in Healthcare Operations from the University of Cambridge; MA in Global Affairs from Tsinghua University; BS in Public Health and Biostatistics from UNC-Chapel Hill.
Background
  • Research focuses on developing novel statistical and machine learning methods to leverage real-world data to improve decision-making, with a focus on public health and clinical medicine. Current areas of interest include causal inference, conformal inference, data integration, federated learning, and survival analysis.
Miscellany
  • Outside of work, enjoys playing golf, staying up-to-date on global affairs, and cheering on the UNC Tar Heels.
Co-authors
0 total
Co-authors: 0 (list not available)