- Paper accepted: 'Quantifying the Role of OpenFold Components in Protein Structure Prediction' at NeurIPS 2025 Workshop
- Paper accepted: 'Test-time Vocabulary Adaptation for Language-driven Object Detection' at IEEE International Conference on Image Processing (ICIP) 2025
- Paper accepted: 'What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision' at ECCV 2024 Workshop
- Paper accepted: 'PANDAS: Prototype-based Novel Class Discovery and Detection' at CoLLAs 2024
- Paper accepted: 'Continual Learning: Applications and the Road Forward' at Transactions on Machine Learning Research (TMLR)
- Paper accepted: 'SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection' at CVPR 2024
- Paper accepted: 'SIESTA: Efficient Online Continual Learning with Sleep' at Transactions on Machine Learning Research (TMLR)
Research Experience
- Research Scientist, NAVER LABS Europe, French Alps
- Research Faculty Member and Research Scientist II, Georgia Tech, ARTISAN Center
- PhD: Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology (RIT), Advisor: Dr. Christopher Kanan
- MS: Applied and Computational Mathematics, RIT
- BS: Applied Mathematics, RIT
Background
- Research Interests: AI for Science
- Professional Field: Computer Vision, Continual Learning
- Introduction: Currently a Research Faculty Member and Research Scientist II at Georgia Tech, previously worked at NAVER LABS Europe focusing on novel class discovery and open-vocabulary object detection.