I have always been fascinated by the myriad complex patterns which arise in natural systems and shape the world around us. Studying such patterns has instilled within me a passion for making natural phenomena more comprehensible in order to solve urgent problems faced by our society.
I completed my B.S. in Physics at UC Santa Barbara where I focused on Astronomy and Planetary Science. During my time there, I also developed a love for coding, data science, and dynamical systems theory. Working with and learning from physicists on the cutting edge of modern science has shown me the astonishing breadth of physical systems which we can observe, understand, and manipulate through rigorous experimentation and creative mathematical theory. This experience led me to search for ways in which I could apply physical reasoning to help demystify systems of critical importance to our society.
Growing up in California, water has always been a topic of significant public concern. More than ever, we need to make well-informed decisions about how our water resources are managed if the people and biota of California are to thrive. However, many natural aquatic systems such as rivers exhibit chaotic dynamics and high dimensionality, making them extremely difficult to understand and predict. Thus, the field of river science has significant room for improvement. The intriguing complexity of rivers as physical systems as well as their aesthetic beauty led me to study them.
Currently, I am pursuing an M.S. in Hydrologic Sciences at UC Davis. My research primarily involves development of software tools which incorporate state-of-the-art hydrodynamic models with analyses of river geomorphology and ecohydraulics in order to optimize restoration efforts and provide actionable insights for river management. My thesis focuses on the creation of novel algorithms for assessment of habitat connectivity in rivers. I have integrated these algorithms into an open-source software platform for river engineering and management called River Architect. The tools I have developed are now being used to predict and mitigate fish stranding on the lower Yuba River.
In addition to river science, I have a broad range of academic interests including nonlinear dynamical systems, physics, computer science, and data science/machine learning.
Aside from academia, I enjoy climbing rocks, playing guitar, and snowboarding.