Scholar
Pradeep Shenoy
Google Scholar ID: lXbPKmkAAAAJ
University of Washington, University of California, San Diego, Microsoft, Google Research
Citations & Impact
Citations
1,816
H-index
20
i10-index
27
Publications
20
Co-authors
25
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including works presented at ICML 2025, ICLR Workshops 2025, CVPR 2024, ICLR 2024, AAAI 2024, WACV 2024, etc.
Research Experience
- A researcher at Google DeepMind India; previously led applied scientist teams at Microsoft Bing Ads in building & supporting large-scale production models of user behavior, including click & conversion prediction and user preference models & personalization.
Education
- Received a Ph.D from the University of Washington, and worked in various research capacities at UW, UC San Diego, Microsoft Research, Fraunhofer Institute, and Lucent Bell Labs.
Background
- Interested in architectural and algorithmic advances for making foundation models efficient (training, inference, model size, etc.) and effective (quality, elastic compute, reasoning, etc.). In recent research, addressed various practical challenges in the design of machine learning systems -- robustness, concept drift, cost-efficiency, human-AI interaction, etc. Also worked on cognition-inspired learning systems, including meta-learning, continual learning, and robust vision.
