Summary
Rohit Gandikota is a Ph.D. candidate at Northeastern University specializing in interpretable and controllable generative AI, with eight years of experience building and deploying neural networks at scale. His research blends causal interventions and concept erasure to align models with human values, producing methods that can permanently remove harmful or copyrighted concepts from diffusion models without retraining. Before his Ph.D. he pioneered data-hiding in generative models—work that won India’s Best Innovative Computer Science Thesis—and built the first deep generative model in production at ISRO, enabling real-time flood monitoring and dramatically accelerating satellite image production. He has contributed to top venues (ICCV, BMVC, IGARSS), interned at Adobe and Wayfair on user-facing generative controls, and collaborated with MIT and Technion on unified concept editing. Comfortable across research and production stacks (PyTorch, TensorFlow, GCP, Docker, Kubernetes), he aims to create an “atlas of AI” that maps model capabilities, relationships, and vulnerabilities to make systems safer and more transparent.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Interpretable Generative AI (Advisor: Prof. David Bau), Doctor of Philosophy - PhD Interpretable Generative AI (Advisor: Prof. David Bau) at Northeastern University
Bachelor of Technology - BTech Electronics and Communications Engineering (Specialization in Avionics), Bachelor of Technology - BTech Electronics and Communications Engineering (Specialization in Avionics) at Indian Institute of Space Science and Technology