Summary
Ryan Reece is a Senior Staff Machine Learning Engineer with 11+ years applying ML to real-world problems and over 15 years of data-science experience grounded in a Ph.D. and postdoc on the ATLAS experiment during the LHC startup and Higgs discovery. He has shifted from particle-physics research at CERN to building high-performance deep learning accelerators and production ML at startups like Cerebras and Tenstorrent, with hands-on work spanning computer vision, machine translation, and large language models. Ryan excels at ML hardware/software co-design, data reduction, visualization, and statistical inference, bridging rigorous scientific methods with engineering for scale. Based in Mountain View, he combines academic depth with startup velocity and brings a pragmatic curiosity—he’s equally comfortable optimizing model pipelines as he is parsing detector-level data. Outside work he’s a husband, father, and self-described nerd, a hint of the personal drive behind his technical focus.
11 years of coding experience
18 years of employment as a software developer
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at The University of Texas at Austin
Doctor of Philosophy (Ph.D.) Experimental Particle Physics, Doctor of Philosophy (Ph.D.) Experimental Particle Physics at University of Pennsylvania