About

Miguel Angel Bautista Martin is a highly accomplished Staff Research Scientist at Apple Inc. with a Ph.D. in Error-Correcting Representations for Multi-class problems from the University of Barcelona. His research interests lie in the intersection of Computer Vision and Machine Learning, with a particular focus on high-level problems such as object recognition, pose estimation, and action recognition. Miguel completed his B.Sc. and M.Sc. degrees in Computer Science and Artificial Intelligence from the University of Barcelona and BarcelonaTech in 2010. He was a visitor at Carnegie Mellon University in 2013, where he worked on Matrix Factorization methods for learning Error-Correcting Codes. He has been awarded prizes at the international level for both his M.Sc. thesis and Ph.D. thesis. After earning his Ph.D. in 2015, Miguel held a Postdoctoral Fellow position with the Heidelberg Collaboratory for Image Processing, where he worked on deep unsupervised methods for feature learning with Prof. Dr. Bjoern Ommer. He has published papers in prestigious conferences such as ICCV, CVPR, NIPS & PAMI. Miguel has 6.62 years of relevant experience and has worked as a Senior Research Scientist at Apple Inc. in AI and ML Research before his current role. He has also worked as a Postdoctoral Researcher at the University of Heidelberg. Miguel's TechStack includes Research Scientist, ML, AI, Computer Vision, and Image Processing. His exceptional academic background and extensive research experience make him a valuable asset to any organization working in the field of AI and ML research.