The Han Lab Team Members
Summer Han, Ph.D.
Principal Investigator
Dr. Han is an Assistant Professor of Neurosurgery and Medicine in the Stanford School of Medicine. She holds a PhD in Statistics (Yale, 2009) with concentration on statistical genetics. Dr. Han's research focuses on developing novel statistical methods for understanding the interplays between genes and the environment and for evaluating efficient screening strategies based on etiological understanding. She is the Principal Investigator of the NIH funded project for conducting GWAS, building risk prediction models, and developing decision analysis for cancer screening for second primary lung cancer (SPLC).
Postdoctoral Fellows
Nilotpal Sanyal, Ph.D.
Postdoctoral Fellow
Nilotpal completed his PhD in Statistics from University of Missouri, Columbia with dissertation titled 'Bayesian fMRI data analysis and Bayesian optimal design'. His prior research projects include high-dimensional variable selection methods and genome wide association study (GWAS) analysis at Texas A&M University and the University of California, San Diego. His current research topics include developing statistical methods for detecting gene-environment interaction for case-control study and for developing risk prediction models for cancer screening.
Eunji Choi, MPH, PhD
Postdoctoral Fellow
Eunji completed her undergraduate education in Economics at Emory University in 2012. Subsequently, she obtained a M.P.H (2016) and a Ph.D. in Public Health (2020) from National Cancer Center Korea, Graduate School of Cancer Science and Policy. Her prior research focus was on evaluating the effectiveness and the performance quality of organized cancer screening programs in South Korea. Currently, Eunji is working on developing and evaluating risk-stratified screening strategies for second primary lung cancer among lung cancer survivors.
Biostatisticians
Natasha Purington, M.S.
Biostatistician
Natasha completed her M.S. in Biostatistics at UC Los Angeles while working on health care evaluation projects for the UCLA Center for Health Policy Research. She is currently working on various cancer projects to evaluate the associations between tumor mutations/alterations and cancer outcomes.
Justin Lee, MPH
Biostatistician
Justin completed his MPH degree at the University of Miami where he mostly focused on data management and statistical analyses of infectious diseases with UM’s Clinical and Translational Sciences Institute and the Miami-Dade County Health Department. He is currently working on numerous projects that include developing predictive models for second primary lung cancer and parallelizing GWAS through Stanford’s computer cluster (Sherlock) with The Han Lab.
Rebecca Gardner, M.S.
Biostatistician
Rebecca completed her MS in Statistics at Brigham Young University, where she collaborated with cardiologists to develop a new approach to diagnose rheumatic heart disease for her Master's thesis. She is currently working on developing a prediction model for second primary lung cancer, which can be incorporated into a clinical support tool to aid with screening strategies.
Victoria Ding, M.S.
Biostatistician
Victoria completed her M.S. in Biostatistics at the University of Washington, where she engaged in collaborative research pertaining to mental health and gerontology. She is currently working on several risk modeling projects for second primary lung cancer and is developing an R Shiny app for the prediction models.
Students
Jacqueline Aredo, B.S.
MD/Master Student in Epidemiology and Clinical Research (MedScholars Program)
Jacqueline is a third year medical student at Stanford University School of Medicine. She graduated from Georgetown University with a BS in Neurobiology and completed a post-baccalaureate clinical research fellowship at the National Institutes of Health. At Stanford, she has worked with the thoracic oncology team on projects examining KRAS-mutant non-small cell lung cancer and the impact of co-mutations on patient outcomes. Currently, she is working on evaluating health disparities in lung cancer screening with the goal of optimizing screening strategies for various populations.
Chloe Su, B.S.
Graduate Student in Epidemiology and Clinical Research
Chloe is a first-year M.S. Candidate in the Stanford School of Medicine. She completed her B.S. in Molecular, Cell and Developmental Biology with a minor in Biomedical Research at UCLA, where she worked on hematopoietic stem cell development. Prior to Stanford, she was a Staff Research Associate at UCLA Health, managing clinical trials in early lung cancer detection and prediction. Currently, she is working on studying the risk factors for brain metastasis from primary lung cancer.
Sophia Luo
Undergraduate Student
Sophia is a first year undergraduate student at Stanford University with an intended major of Biology on a Computational Biology track. Previously, she worked as an intern at the the University of North Carolina Lineberger Bioinformatics Core for research projects for integrated clinical data with genomics for association testing. Currently she is working on a project for applying various statistical methods to understand gene-environment interactions for complex diseases.
Lab Alumni
Hugo Kitano, BS
Graduate student in Computer Science at Stanford University.
Eric Chow, M.S.
Medical student at Chicago Medical School in Rosalind Franklin University
Matthieu de Rochemonteix, M.S.
Quantitative Research Analyst at Citadel