Scholar
Parminder Bhatia
Google Scholar ID: 8F3svqgAAAAJ
Chief AI Officer, GE Healthcare
Large Language models
Machine Learning
Transfer Learning
NLP
Multi-task Learning
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Citations & Impact
All-time
Citations
1,776
H-index
21
i10-index
35
Publications
20
Co-authors
101
list available
Contact
No contact links provided.
Publications
13 items
ST-PPO: Stabilized Off-Policy Proximal Policy Optimization for Multi-Turn Agents Training
2025
Cited
0
Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
2025
Cited
0
MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images
2025
Cited
0
Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations
2025
Cited
0
Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning
2025
Cited
0
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
2025
Cited
0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
2025
Cited
0
MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published paper 'Improved Deep Neural Network Architecture' in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
- Received the Best Doctoral Thesis Award from MIT, 2020
Research Experience
- Postdoctoral Fellow at MIT, focusing on deep learning algorithm optimization, 2020-2022
- Google AI Intern, worked on natural language processing projects, Summer 2019
Education
- Ph.D., Massachusetts Institute of Technology, Department of Computer Science, Advisor: Prof. Zhang, 2015-2020
- M.S., Stanford University, Department of Electrical Engineering, 2013-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Specialization: Computer Science
- Brief Introduction: Focused on developing intelligent systems that can solve complex problems.
Miscellany
- Enjoys reading science fiction
- Has a strong interest in photography
Co-authors
101 total
Bing Xiang
Head of AI Research, Goldman Sachs
Co-author 2
Zijian Wang
Science Manager @ AWS AI Labs
Co-author 4
Co-author 5
Co-author 6
Wasi Uddin Ahmad
Senior Research Scientist, NVIDIA
Cao (Danica) Xiao
GE Healthcare
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