Since 2019, I've been working on scientific pipelines and machine learning problems at insitro.

I received my PhD in Biophysics from Stanford University in August 2019. I conducted research on how to efficiently run molecular dynamics simulations of protein-ligand binding as a member of the Ron Dror group. I graduated from UC San Diego in March 2014 with a major in Bioinformatics and a minor in Mathematics.

I have done computational chemistry at the San Diego Supercomputer Center as part of the Walker Molecular Dynamics Lab since 2011. I have also worked at Pfizer, the National Oceanic and Atmospheric Administration and the UCSD Experimental Game Lab.

I am interested in the mechanics of life at the molecular level, and am especially fascinated by protein dynamics and interaction. I believe that today’s computers are an extremely powerful tool that can give unique insights into complex biological systems. I use molecular dynamics simulations to examine how proteins behave, and also help develop and improve parameters used in simulations. I’m also very interested in ways of mitigating and detecting error in these simulations, especially with highly-parallel code.

I know C++, C, Perl, Python, FORTRAN, Java, LaTeX, and BASH very well. I have enough knowledge of HTML, Javascript, and CSS/SASS to make this website. I like parallel programming with MPI and OpenMP, and I really like working with GPU-accelerated code written in CUDA.

In my free time, I like to work on open-source projects and play around with Linux. I really like to scuba dive on the weekends in Monterey Bay, and race my bike. On weekends you can usually find me underwater, cycling, reading, knitting, or doing math outside.



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