Mitra Lab Alumni
Bryan Blette
Bryan Blette is an Assistant Professor of Biostatistics at Vanderbilt University Medical Center. Previously, he was a post-doctoral fellow in the Department of Biostatistics, Epidemiology, and Informatics and the Center for Causal Inference at the University of Pennsylvania. His main research interests are applications and methods development for causal inference, survival analysis, missing data, cluster-randomized trials, and health policy, with a particular focus on problems in HIV/AIDS and critical care.
Elizabeth Handorf
Elizabeth Handorf is an Assistant Research Professor at Fox Chase Cancer Center, which she joined in 2012. Her research interests include developing methods observational data, particularly applied to comparative-effectiveness and cost-effectiveness analysis. Randomized data may not be available to compare efficacy of treatment alternatives, and is even less likely to be available to answer policy questions. Dr. Handorf’s goal is to develop methods and conduct studies which use such secondary data sources. For example, she has used information from the National Cancer Database and SEER-Medicare to conduct studies of relevant clinical questions, and the challenges of working with such data motivate her methods research work. Her interests also include decision-analytic cost effectiveness modeling, causal methods, and application of machine learning methods to large databases.
Joanna Harton
Dr. Joanna Harton is a Real-World Evidence Analytics Scientist at Genesis Research. She completed her PhD study in Biostatistics at the University of Pennsylvania in 2022 where she was jointly advised by Dr.’s Rebecca Hubbard and Nandita Mitra.
Nicholas Illenberger
Dr. Nicholas Illenberger is an Assistant Professor of Biostatistics at NYU Langone Health. His research focuses on developing new methods for assessing the cost-effectiveness of public health interventions using observational data. His current work centers new semiparametric efficient methods for assessing cost-effectiveness in settings with unmeasured confounding. He is involved in collaborative projects concerning mobile health interventions for managing diabetes and promoting wellness. Outside of work, Nick enjoys listening to podcasts, knitting to reality television, traveling, and trying new restaurants. Nick received his PhD in Biostatistics from the University of Pennsylvania in 2022 where he was advised by Dr. Mitra.
Youjin Lee
Youjin Lee is an Assistant Professor of Biostatistics at Brown University. Youjin's primary research interests are causal inference and social network analysis. She was formerly the Center for Causal Inference post-doctoral fellow at the University of Pennsylvania (2019-2021), where she collaborated with Dr. Mitra on influence function-based estimators for quasi-experimental data [link]. Currently, Youjin is working on developing new difference-in-differences and synthetic control methods with application to the Philadelphia beverage tax data with Dr. Mitra.
Elle is an MD-PhD student at Perelman in the Department of Biostatistics, Epidemiology, and Informatics. She is interested in applying cutting-edge statistical methodologies to answer questions related to health equity and access to health care. Currently, her collaborations include work in environmental health, medical education, and surgery. She holds a bachelor's degree in Molecular and Cellular Biology from Harvard College and a master's degree in Biostatistics from Duke University.
Jiaqi Li
Dr. Jiaqi Li is a Senior Data Scientist at Amazon. Prior to Amazon, Jiaqi held positions at Mathematica Policy Research, Booz Allen Hamilton, and Instacart. Dr. Li received her PhD in Biostatistics from the University of Pennsylvania in 2016 where she was advised by Dr. Mitra.
Carolyn Lou
Dr. Carolyn Lou currently works as a Manager of Biostatistics at Pfizer. She completed her PhD at the University of Pennsylvania in Biostatistics in 2022.
Arman oganisian
Arman Oganisian is an Assistant Professor of Biostatistics at Brown University. His research interests involve Bayesian nonparametric models for sequential decision problems in applications ranging from oncology to health economics. Arman Oganisian received his PhD in biostatistics from the University of Pennsylvania and was jointly advised by Dr. Nandita Mitra and Dr. Jason Roy.
Andrew Spieker
Dr. Spieker is an Assistant Professor of Biostatistics at Vanderbilt University Medical Center. He specializes in causal inference methods with application to a wide range of areas including HIV vaccine development and pharmacoepidemiologic studies of biomarker outcomes. Currently, he is working to develop longitudinal causal inference methods for analysis of cost and cost-effectiveness data. He is also involved with a number of collaborative projects in pediatric infectious disease and diabetes management.
Fei Wan
Fei Wan is an Associate Professor of Surgery at the Washington University School of Medicine in St. Louis. Prior to his current position, he was an Assistant Professor at the Department of Biostatistics at University of Arkansas for Medical Sciences (UAMS). Before joining UAMS, he was a faculty member at Group Health Research Institute in Seattle between 2015 and 2016. Dr. Wan received his Ph.D. in Biostatistics from the University of Pennsylvania in 2015 under the advisory of Dr. Mitra. His research focuses on causal inference and survival analysis.
Angela Zhu
Dr. Angela Zhu is a Senior Biostatistician at Johnson and Johnson. Prior to her current position, she received her PhD in Biostatistics from the University of Pennsylvania under the joint advisory of Dr.’s Nandita Mitra and Jason Roy. Her dissertation focused on developing Bayesian nonparametric methods for handling violations of causal assumptions.
