Summary
Kala Pilla is a Senior Computational Biologist with 11 years of experience applying ML/DL and physics-based methods to protein engineering, design, and hybrid structure determination. She holds a Ph.D. in Structural Bioinformatics from ANU and has published 15+ papers with 5,000+ citations, reflecting sustained impact in structural bioinformatics. Kala developed practical ML-Rosetta pipelines for high-affinity biologics and one-shot affinity enhancement workflows for antibodies and TCRs, and contributed to SARS-CoV-2 interactome research. Her toolkit spans Python, C++, Rosetta, ProteinMPNN, RosettaFoldDiffusion, AlphaFold2 and IMP, and she regularly scales workloads on AWS, GCP and HPC clusters. Notably, she created GPS-Rosetta and DINGO-PCS—innovative hybrid approaches that accelerate structure determination from sparse experimental data. Now based in Cambridge and leading computational biology at T-Therapeutics, she bridges deep methodological research with translational biologics development.
11 years of coding experience
Australian National University
Integrated Masters of Science Biomathematics Bioinformatics and Computational Biology, Integrated Masters of Science Biomathematics Bioinformatics and Computational Biology at SRM University