Arth Banka

I build machine learning models, algorithms, and scalable systems, and apply them to hard problems in the life sciences. I recently completed my M.S. in Computational Biology at Carnegie Mellon University, working across generative models, protein and genomic modeling, statistical inference, and laboratory automation. I think of myself first as someone who builds: models, algorithms, and reproducible systems. The through line of my work is turning large, noisy, high-dimensional data into results that are both rigorous and useful. My work spans generative and state-space models, statistical and single-cell pipelines, randomized and optimization algorithms, and the systems that make them scale. That range lets me move comfortably between computer science, machine learning, and the biology that motivates them.