Sameer Gabbita
Sameer Gabbita
Charissa is a junior studying biomedical engineering and computer science. She is interested in using data-driven methods to find solutions to complex biomedical problems.
Emily is a third year Ph.D. candidate in Biostatistics. Her research focuses on building better risk prediction models that may ultimately inform clinical decision-making to promote precision prevention equitably across diverse populations.
I am currently a second-year Ph.D. candidate in the Department of Biostatistics, working with Professors Nilanjan Chatterjee and Elizabeth Ogburn, and my primary research interests are Statistical Genetics, Causal Inference, and Machine Learning.Tad Berkery is an undergraduate at Johns Hopkins University majoring in Computer Science and Economics. He primarily focuses on designing and implementing software and web applications that enable the public to make use of models originating in the lab.
Post-doctoral Fellow (2019-2022), Current Position: Earl Stadtman Investigator, Division of Cancer Epidemiology and Genetics,National Cancer Institute.
I am majoring in Applied Mathematics and Statistics
I am a postdoctoral fellow in Dr. Chatterjee’s lab. I want to find out the mechanisms behind complex human diseases using genetics and genomics data. Specifically, I currently focus on improving the interpretability and applicability of polygenic scores.
Yujie (Phyllis) Wei is a Ph.D. student in Biostatistics at Johns Hopkins University.
I am a second-year PhD student in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, where I am advised by Dr. Nilanjan Chatterjee. Before starting my PhD, I earned a B.S.