Student Researcher at Georgia Institute of Technology
Seattle, Washington, United States
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Summary
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Senior
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Top School
George Stoica is an ML PhD candidate at Georgia Tech with a decade of experience building and evaluating novel machine learning systems across academia and industry. He has co-authored multiple ICLR/ICCV/NeurIPS papers on model merging, flow matching, and transformer attention, and contributed to production-focused multimodal projects at Google DeepMind and Allen Institute for AI (MolmoV3 vision encoder pretraining). His work blends theoretical innovation—gradient-free LoRA merging and contrastive flow objectives—with practical engineering, from autonomous checkout prototypes to large-scale data pipelines. Based in Seattle and with roots at CMU, he routinely bridges research and product priorities, often producing first-author datasets and methods that others can immediately adopt.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Georgia Institute of Technology
High School, High School at The College Preparatory School
Bachelor’s Degree, Statistics and Machine Learning, Bachelor’s Degree, Statistics and Machine Learning at Carnegie Mellon University
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George Stoica - Student Researcher at Georgia Institute of Technology