Anuj Karpatne — Co-Founder
17+ years of research experience in AI/ML with 8+ years of leadership experience as Principal Investigator on federally funded projects (personal share: $4.4M+), building large multi-institutional and interdisciplinary teams across computer science, biology, ecology, and physics. My work has resulted in 160+ publications including papers at top-tier venues such as NeurIPS, ICML, ICLR, CVPR, KDD, and Nature Scientific Data, and I have delivered 40+ invited/keynote talks. My research has been recognized by several awards including the NSF CAREER award and the NAIRR Pilot award invited to speak at the White House. My research has pioneered the field of knowledge-guided machine learning (KGML) that incorporates domain knowledge and scientific laws in AI models to improve their generalization, interpretability, and efficiency.
Stackforce AI infers this person is a leading expert in AI for scientific applications with a strong interdisciplinary focus.
Location: Blacksburg, Virginia, United States
Experience: 8 yrs 6 mos
Skills
- Ai For Science
- Team Leadership
- Knowledge-guided Ml
Career Highlights
- 17+ years of AI/ML research experience.
- Principal Investigator on $4.4M+ federally funded projects.
- Pioneered knowledge-guided machine learning.
Work Experience
Virginia Tech
Dean's Fellow, College of Engineering (8 mos)
Faculty Fellow, College of Engineering (11 mos)
Associate Professor in Computer Science (2 yrs 11 mos)
Assistant Professor (4 yrs 9 mos)
University of Minnesota
Postdoctoral Associate (10 mos)
Education
Doctor of Philosophy - PhD at University of Minnesota
MTech Integrated (BS + MS) at Indian Institute of Technology, Delhi
