Summary
Otniel-bogdan Mercea is a Machine Learning Researcher with 8 years of experience, currently advancing multimodal learning at Apple after research stints at Google Research and DeepMind focused on efficient adaptation and video segmentation. He holds a PhD from the Max Planck/University of Tübingen program and an MSc in AI from Edinburgh, and has contributed to CVPR-highlighting work, a patent, and multiple preprints on adapting large-scale models. His research blends data- and model-efficient methods for low-shot learning, audio-visual multimodality, video semantic segmentation, and tracking, with practical outcomes including amodal-enhanced SAM and multi-camera tracking patents. Based in Barcelona, he combines academic rigor with industry impact across top labs, and unusually for a researcher, has repeatedly translated research into patents and production-ready improvements.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Distinction (76% overall), Master of Science - MS, Artificial Intelligence, Distinction (76% overall) at The University of Edinburgh
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Max Planck Society
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Tuebingen
Bachelor of Engineering - BE, Computers and Information technology, Top 3% (Overall 9.70/10), Bachelor of Engineering - BE, Computers and Information technology, Top 3% (Overall 9.70/10) at Politehnica University of Timisoara
Romanian, English