I’m currently a 5^th year Ph.D. student in physics at UT Austin receiving Provost’s graduate excellence fellowship. Recently, I joined the center for theoretical and computational neuroscience as a research assistant under the supervision of Dr. Thibaud Taillefumier. The two main focuses of my interests in the field of computational neuroscience, broadly speaking, are:

• to understand how the biological neural networks actually work; and
• to inspire the development and improvement of neural-network-based machine learning algorithms.

Here’s a list of my past and ongoing projects.

I use mathematical tools such as stochastic calculus and functional differential equation to study the behavior and extract properties of neural networks; and tropical algebra to study problems in bioinformatics such as phylogenetic trees. Meanwhile, for the second part, I’m also looking into the optimization over tensor networks that has a wide range of applications emerging in machine learning.

I enjoy using computational tools to solve problems either from research or in life. As a passionate believer and active advocate of Wolfram Mathematica, I use it almost daily for research and pleasure. I also use (C++ | Python | Rust) when they best suit my needs. I’m also into parallel computing, more specifically, CUDA for GPU computing. As a side hobby, I casually do web development; for example, this site and Jazzify.AI.