I am a 4th year student in the Joint Carnegie Mellon - University of Pittsburgh PhD program in Computational Biology working in the lab of Prof. David Koes. In 2017, I graduated from the University of California, Berkeley with simultaneous degrees in Computer Science and Bioengineering. I’m currently working on machine learning applications in drug development and protein structure prediction.
Previously, I developed machine learning methods for forecasting cardiac arrest events at UCSF as well as algorithms to detect genetic structural variants in patients with acute myeloid leukemia at Plexxikon, Inc. I have also worked with Google Brain Genomics to develop machine learning methods for improved phenotyping.