Scholar
Umang Bhatt
Google Scholar ID: qq8bxPkAAAAJ
University of Cambridge
Machine Learning
Artificial Intelligence
Human-AI Collaboration
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Citations & Impact
All-time
Citations
3,615
H-index
22
i10-index
35
Publications
20
Co-authors
44
list available
Contact
No contact links provided.
Publications
15 items
RCTs & Human Uplift Studies: Methodological Challenges and Practical Solutions for Frontier AI Evaluation
2026
Cited
0
Belief Offloading in Human-AI Interaction
2026
Cited
0
Measuring and mitigating overreliance is necessary for building human-compatible AI
2025
Cited
0
Beyond Quantification: Navigating Uncertainty in Professional AI Systems
2025
Cited
0
Documenting Deployment with Fabric: A Repository of Real-World AI Governance
2025
Cited
0
Documenting Deployment with Fabric: A Repository of Real-World AI Governance
2025
Cited
0
Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
2025
Cited
0
When Should We Orchestrate Multiple Agents?
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published 'Efficient Neural Network Architecture Design' at ICML 2021
- Best Paper Award, CVPR 2020
- Holds one US patent related to improved image recognition algorithms
Research Experience
- Research Fellow at MIT, involved in Deep Learning Framework Optimization Project, 2020-2022
- Research Assistant at Stanford, focused on Natural Language Processing Technologies, 2017-2018
Education
- Ph.D., Massachusetts Institute of Technology, Department of Computer Science, 2018-2022, Advisor: Prof. Zhang
- M.S., Stanford University, Department of Electrical Engineering, 2016-2018
- B.S., University of California, Berkeley, Electrical Engineering and Computer Sciences, 2012-2016
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science
- Brief Introduction: Dedicated to developing smarter and more adaptive technological solutions.
Miscellany
- Enjoys reading science fiction and tech blogs in free time
- Actively contributes to open-source communities, being an active member in multiple projects
Co-authors
44 total
Adrian Weller
Director of Research, Machine Learning, University of Cambridge
Katherine M. Collins
Machine Learning PhD Student at the University of Cambridge
Alice Xiang
Lead Research Scientist (AI Ethics), Sony AI
Mateja Jamnik
Professor of Artificial Intelligence, University of Cambridge
Jose M. F. Moura
Philip L. and Marsha Dowd University Professor, Carnegie Mellon University
Ilia Sucholutsky
New York University
Q.Vera Liao
University of Michigan
Thomas L. Griffiths
Professor of Psychology and Computer Science, Princeton University
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