The Han Lab Team Members
Summer Han, Ph.D.
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).
Nilotpal Sanyal, Ph.D.
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
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.
Natasha Purington, M.S.
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
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.
Victoria Ding, M.S.
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.
Anna Graber-Naidich, Msc, PhD
Anna obtained her PhD in healthcare operations research from the University of Toronto, focusing on Canadian primary care services. She has a MSc in biostatistics and developed estimation techniques for survival analysis for correlated and missing data for breast cancer patients. Her current research projects include developing and evaluating risk-stratified screening strategies for second primary lung cancer among breast cancer survivors.
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 Ph.D. student in Epidemiology. 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 various projects for building prediction models for brain metastases and recurrence in lung cancer patients.
Sophia is an undergraduate student who is majoring in Computation Biology at Stanford University. Previously, she worked as an intern at 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 several projects for identifying gene-environment interactions and for evaluating risk factors for second primary lung cancer.
Julie Wu, M.D., Ph.D.
Medical Oncology Fellow
Julie is a Stanford medical oncology fellow specializing in thoracic malignancies. She completed her undergraduate education in Molecular Biology with a certificate in Biophysics at Princeton University and went on to UCSF for MD/PhD, where her PhD focused on cancer cell biology. She then completed internal medicine residency at Vanderbilt University, where she led a project on tumor drivers in metastasis. Currently, she is working on genomics of brain metastasis development in lung cancer patients and development of a predictive model of brain metastasis with the goal of optimizing brain MRI surveillance.
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