Systems Biology and Uncertainty Quantification Researcher

Ph.D. Student at UC San Diego Mechanical and Aerospace Engineering

I am currently a Ph.D. student in the Department of Mechanical and Aerospace Engineering and the Interfaces Graduate Training Program at the University of California San Diego, where I work in the labs of Boris Kramer and Padmini Rangamani. My research focuses on developing data-driven modeling and uncertainty quantification methods for systems biology and medicine.

Specifically, I am interested in improving how we use experimental and clinical data to calibrate and inform mathematical models of biological systems.

To learn more about my research, click here.

Prior to joining UCSD, I received my BS of Bioengineering with a minor in Applied Mathematics from the University of Washington in Seattle in 2020. At UW, I worked with biology professor Bing Brunton and an interdisciplinary team of researchers to develop a novel computational method to visualize spatiotemporal structures in widefield optical recordings of neural calcium activity.

Recent News

Sep 19, 2023

I am excited to be organizing a minisymposium at SIAM Uncertainty Quantification 2024 in Trieste, Italy, with Boris Kramer, Padmini Rangamani from UCSD, and Daniele Schiavazzi from the University of Notre Dame.

Aug 4, 2023

I had an excellent time learning more about optimal transport and normalizing flows at the Uncertainty Quantification Summer School in August 2023!

Jul 21, 2023

I presented my work on model averaging to account for model uncertainty when making predictions from blood glucose and insulin measurements in Diabetes at the Society for Mathematical Biology Annual Meeting in July 2023.

Jun 19, 2023

Our paper on uncertainty quantification for progression damage simulation of composite materials was accepted in Composite Structures (link). This work is part of an international collaboration, including Jonnahes Reiner at Deakin University, Navid Zobeiry at the University of Washington, Reza Vaziri at the University of British Columbia, and my advisor Boris Kramer at UCSD.

Jun 16, 2023

I presented my current work on applications of Bayesian parameter estimation to study intracellular AMP-activated protein kinase signaling at the National Institutes of Health, National Institute of Bioimaging and Bioengineering (NIH NIBIB) Training Grantees Meeting in Bethesda, MD.

Jun 10, 2023

I completed my first year of volunteer tutoring at the Preuss School UCSD. Throughout the school year, I had to the opportunity to support students in a 7th grade science classroom! I am looking forward to continuing this work next school year.

Outside of the lab I enjoy spending time outdoors climbing rocks, hiking in the mountains, or riding my bike!