Summary
Ashish Hooda is a research scientist at Google DeepMind with seven years of experience at the intersection of systems, security, and machine learning. He carried out doctoral research in the Madison Security and Privacy Group at the University of Wisconsin–Madison, focusing on practical attacks and defenses that bridge ML and systems. Ashish pairs academic rigor with production engineering, having interned and worked at Google, AWS, Microsoft and NVIDIA where he contributed to software and hardware-aware systems. His background spans hardware internships to cloud-scale applied science roles, giving him a rare end-to-end perspective on ML security and privacy. Based in Madison, he brings a pragmatic research mindset aimed at making ML systems safer and more robust in real-world deployments.
8 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
High School, Science, 98.8%, High School, Science, 98.8% at Lancer's Convent Public School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-Madison