David D. Cox
VP, AI Foundations at IBM Research, working on IBM's Granite models; earlier a Harvard professor
- VP, AI Foundations; IBM Director, MIT-IBM Computing Research Lab, IBM Research21
David Cox is VP, AI Foundations at IBM Research and the IBM director of the MIT-IBM Computing Research Lab, which IBM Research's profile lists as the MIT-IBM Watson AI Lab. IBM Research describes Cox as responsible for the development and training of IBM's large language models, and Cox is a co-author of the Granite Code and Granite Embedding papers, both of which release their models under the Apache 2.0 license; the Granite Code paper describes sizes from 3 billion parameters suited to on-device, memory-constrained use. Before IBM, Cox was the John L. Loeb Associate Professor of the Natural Sciences and of Engineering and Applied Sciences at Harvard University, where Cox's lab started the open-source Hyperopt hyperparameter optimization library.123456
Work
IBM Granite modelsOpen weights
Listed among the authors of the Granite Code models paper (2024), which releases code models from 3 to 34 billion parameters under an Apache 2.0 license, and of the Granite Embedding models report (2025), which releases English and multilingual retrieval embedding models under Apache 2.0. IBM Research's profile describes Cox as responsible for the development and training of IBM's large language models.341
Hyperopt (external site: github.com)Open-source code
IBM Research's profile states that Cox's lab at Harvard started Hyperopt, a BSD-licensed Python library for hyperparameter optimization; Cox co-authored, with James Bergstra and Daniel Yamins, the ICML 2013 paper "Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures."156
Other documented roles
Roles the sources document but that are not confirmed as current.
- John L. Loeb Associate Professor of the Natural Sciences and of Engineering and Applied Sciences, Harvard University12
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