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
Publications
14 items
MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models
2026
Cited
0
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
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Resume
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
11 total
Bing Xiang
Head of AI Research, Goldman Sachs
Zijian Wang
Science Manager @ AWS AI Labs
Wasi Uddin Ahmad
Senior Research Scientist, NVIDIA
Cao (Danica) Xiao
GE Healthcare
Dan Roth
Professor of Computer Science, University of Pennsylvania
Baishakhi Ray
Associate Professor, Columbia University
Ben Athiwaratkun
Together AI
Haifeng Qian
Principal Applied Scientist, NVIDIA