Summary
Ashish Hooda is a research scientist and PhD candidate at University of Wisconsin–Madison with eight years of experience at the intersection of security, privacy, systems, and machine learning. He has transitioned from industry roles at Microsoft, AWS, NVIDIA and internships at Google to research positions, culminating in a research scientist role at Google DeepMind and an ICML 2024 paper from his Google internship on LLMs for code. His work blends applied systems engineering with rigorous security/privacy research, often targeting practical ML systems and threat models. Based in Madison, WI, he brings hands-on product experience and academic depth, pairing high-impact internships and industry engineering roles with graduate research. An under-the-radar strength is his cross-domain fluency—hardware exposure early in his career and later ML security research—that helps bridge low-level systems constraints with modern ML architectures.
8 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-Madison
High School, Science, 98.8%, High School, Science, 98.8% at Lancer's Convent Public School