Summary
Arjun Chandrasekhar is an assistant professor of Math and Computer Science at Southwestern University with 11 years of experience bridging theoretical computer science and computational biology. He holds a BS in Computer Science from Caltech and a PhD in Bioinformatics and Systems Biology from UC San Diego, and his research focuses on biological distributed algorithms. Arjun has taught a wide range of courses—from introductory programming to formal methods and automata—at institutions including Pitt, UCSD, and USD, and he designs curricula that connect discrete math and theory to practical data science skills. His industry internships (Twitter, MIT Lincoln Laboratory, Adaptly) reflect hands-on work in machine learning pipelines, network analysis, and threat-detection algorithms, underscoring a strong practical bent alongside rigorous theory. Based in Austin, he blends interdisciplinary research, classroom innovation, and production-quality tooling to translate complex biological and algorithmic questions into teachable, testable systems.
11 years of coding experience
2 years of employment as a software developer
University of California San Diego
Bachelor's Degree, Computer Science, 3.3/4.0, Bachelor's Degree, Computer Science, 3.3/4.0 at California Institute of Technology
English, Spanish