Summary
Sanjukta Krishnagopal is an Assistant Professor and computational physicist specializing in complex systems, mathematical modeling, and machine learning with eight years of research experience bridging theory and application. Her work develops and interprets machine learning architectures, neuroscience-inspired learning models, and the dynamics of large networks, applying these tools to problems in computational biology, social interaction, and disease networks. Trained with a PhD in Physics from the University of Maryland and a Master’s in Network Science from TU Berlin, she combines rigorous analytical methods with computational experimentation. She has held postdoctoral positions at UCLA and UC Berkeley and now leads research at UC Santa Barbara, signaling a trajectory from interdisciplinary student roles to independent faculty. Notably, she blends neuroscience principles into ML architectures—bringing biologically plausible dynamics to scalable models—which informs both interpretability and robustness. Based in Baltimore, she pairs theoretical depth with practical modeling that targets real-world complex systems.
8 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Ruia College, Mumbai
St. Xavier's College, Mumbai
St. Anthony Girls High School, Mumbai
Doctor of Philosophy - PhD, Physics, A, Doctor of Philosophy - PhD, Physics, A at University of Maryland
Master's, Phsyics - Network Science, A, Master's, Phsyics - Network Science, A at Technische Universität Berlin
English, Hindi, Marathi, Tamil, German, Spanish