Summary
Vishnu Dasu is an AI researcher and PhD student at Penn State with nine years of experience at the intersection of machine learning, cybersecurity, and privacy. He has a strong publication record (ICCV, ICSE, NDSS, ISSTA) and practical research experience from labs and industry including Bosch BCAI, TRDDC, OpenMined, and Citrix. His work spans fairness and robustness of LLMs, trustworthy code generation, federated learning, and secure aggregation, and has produced tangible improvements such as a post-processing mitigation boosting fairness by up to 69%. Vishnu combines hands-on systems skills (multi-GPU LLM training, React/Spring dashboards, CI/CD) with deep crypto and privacy knowledge (homomorphic encryption, differential privacy, pairing-based cryptography). He’s a repeat award-winner at TRDDC and contributed to optimized AES hardware implementations earlier in his career, reflecting breadth from low-level crypto to agentic AI security. Open to collaborations, he maintains an active research portfolio and public site at vdasu.github.io.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Penn State University
Bachelor of Technology (B.Tech.), Computer Science, 8.71/10, Bachelor of Technology (B.Tech.), Computer Science, 8.71/10 at Manipal Institute of Technology
CBSE, CBSE at National Public School
English, Telugu, Hindi, French