I am a fifth year PhD student in Computer Science and Engineering at the University of Washington, advised by Kevin Jamieson. My research improves scientific experimentation using tools from experimental design and statistical machine learning. I am currently collaborating with scientists from the University of Pittsburgh to design sample-efficient experiments for the identification of promising antibiotic combinations. I have also worked on the analysis of pilot experiments, models for under-reported counts in the context of global health, and techniques for training memory-hungry deep learning models. During the fall of 2021, I am interning at Google Research, working on problems related to causal inference and heterogeneous treatment effect estimation.
Analysis and Methods to Mitigate Effects of Under-reporting in Count Data, Jennifer Brennan, Marlena Bannick, Nicholas Kassebaum, Lauren Wilner, Azalea Thomson, Aleksandr Aravkin, Peng Zheng. Preprint
Reconciliation feasibility in the presence of gene duplication, loss, and coalescence with multiple individuals per species, Jennifer Rogers, Andrew Fishberg, Nora Youngs and Yi-Chieh Wu, BMC Bioinformatics, 2017. 18:292 Paper