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Research

I am currently a member of the Sethuraman Lab at SDSU, working under Dr. Arun Sethuraman on computational biology and bioinformatics. Currently, I am attempting to refine the methods established by Tamsen Dunn’s specKS simulator for polyploid evolution, by using Gaussian Mixture models rather than naive RMS error reduction for comparing simulation results with empirical data.

I am also doing thesis research with Dr. Christopher Curtis on machine learning and link prediction on bipartite graphs. this is an extension of Maryam Sabagh’s Master’s thesis on the subject , looking for ways to better capture local graph structure for graph neural networks.

Past research and projects for classes include work on Convergence speeds of optimization algorithms and Polynomial division from a Fourier Perspective.