Tiffany Hsieh

Tiffany Hsieh is a third-year PhD student in Epidemiology at Brown University, where she also pursues a concurrent AM in Biostatistics. Her dissertation research focuses on integrating machine learning and causal inference methods to study cancer treatment decisions using real-world data. She develops transformer-based embeddings to recover unmeasured clinical variables and embeds them into target trial emulation frameworks for comparative effectiveness research. She is working under the guidance of Dr. Rebecca Hubbard, with collaborators in oncology and computer science. Tiffany holds an ScM from Johns Hopkins Bloomberg School of Public Health. Outside of research, she enjoys dancing, reading, browsing arts, and watching F1 racing.