Ryan Reece, Ph.D.

Physicist / machine learning scientist

This is my space on the web

Hi! I’m Ryan. I was formerly a postdoctoral researcher at the Santa Cruz Institute for Particle Physics (SCIPP), who worked with the ATLAS experiment at CERN and as a machine learning engineer at Cerebras Systems. I am currently with Tenstorrent.

I have experience in deep learning, large-scale language modeling, natural language processing, computer vision, classical machine learning, statistical modeling, data science, and petabyte data reduction.

I am passionate about using scientific techniques to solve important problems and about how technologies extend our reach.

Read more about my research here.

Get my resume or CV:

• brief resume:  html,  pdf
• full academic curriculum vitae:  html,  pdf

News

• May 2026: Co-led the AI Cloud team behind console.tenstorrent.com, Tenstorrent’s public demo platform showcasing record-breaking DeepSeek chat and Wan video generation on Galaxy hardware; unveiled at the TT-Deploy launch event on May 1, 2026 alongside the GA of Blackhole Galaxy servers
• Aug 2025: As a guest on the Creatives Podcast, I discussed my transition from physics to AI, and what it means to be creative in a world with AI.
• Apr 2025: As a memeber of the ATLAS Collaboration during the startup of the LHC and the discovery of the Higgs boson, I am a Laureate of the 2025 Breakthrough Prize in Fundamental Physics.
• Oct 2024: I was promoted to Sr. Staff Technical Lead and Manager of Tenstorrent’s AI Cloud
• Jun 2023: Tenstorrent started offering inference as a service on various NLP tasks through EdenAI APIs, a project I lead technically.
• Oct 2022: I joined Tenstorrent as Staff Machine Learning Engineer.
• Apr 2022: I became a supporter of the John Bell Institute for the Foundations of Physics.
• Apr 2022: I co-authored a blog about Getting started with PyTorch BERT models on the Cerebras CS-2 System.
• Nov 2019: Cerebras revealed its first product at Supercomputering 2019: the poweful CS-1 computer for AI. I helped represent Cerebras at its tradeshow booth.
• Aug 2019: Cerebras revealed its Wafer Scale Engine (WSE) at HotChips 2019.
• May 2019: Collaborators at Cerebras and I published a new normalization technique, OnlineNorm, for training deep neural networks with small batch sizes (NeurIPS 2019, arxiv:1905.05894).
• Apr 2018: I joined Cerebras Systems as a machine learning engineer.
• Apr 2015: Continuing my postdoc with UCSC, I moved back to Geneva, Switzerland to work at CERN during Run 2 of the LHC.
• Nov 2014: I was awarded a 6 month fellowship, US ATLAS Scholar, to be at Lawrence Berkeley National Laboratory (LBL) in Berkeley, CA, continuing collaboration with the ATLAS Experiment.
• July 2013: I started a postdoctoral fellowship with the Santa Cruz Institute for Particle Physics (SCIPP) at UC Santa Cruz.
• July 2013: I defended my PhD at Penn. Thesis: A search for new physics in high-mass ditau events in the ATLAS detector.
• On July 4 of 2012, the ATLAS and CMS experiments both announce the discovery of a new particle consistent with the standard model Higgs boson.
• Jan 2009: I moved to near Geneva, Switzerland to work on the ATLAS experiment at CERN.
• June 2006: I spent my first summer at CERN, helping commission the Transition Radiation Tracker (TRT), a sub-detector within the ATLAS experiment.

Contact

Directly

• email:
• cell: +1-817-888-7010 (I usually don’t answer a call; try texting.)

My web presence elsewhere

• my professional and social media
  • github.com/rreece
  • LinkedIn.com/in/ryanreece
  • twitter.com/RyanDavidReece
  • philpeople.org/profiles/ryan-reece
  • INSPIRE-HEP
  • Google Scholar
  • academia.edu/RReece
• my writing
  • Essays
    
  • Pedagogical notes
  • Finance Notes
  • Outline of Philosophy
  • philosophy-in-figures.tumblr.com – my micro-blog on philosophy using only figures

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