# Ben Lorica

> Ben Lorica is a machine learning researcher, media entrepreneur, and conference architect who spent over a decade as Chief Data Scientist at O'Reilly Media before launching Gradient Flow, his independent newsletter and research platform that Coursera ranked among the top 10 sites for data scientists. Known for the @bigdata Twitter handle he registered before 'big data' was a thing, he chairs The AI Conference, the AI Agent Conference, Ray Summit, NLP Summit, and Data+AI Summit while hosting The Data Exchange - a 342-episode podcast in the top 0.5% globally. He coined the PARK Stack (PyTorch, AI Frontier Models, Ray, Kubernetes) as the production AI infrastructure standard for the current era.

- **Role:** Principal at Gradient Flow
- **Organizations:** Gradient Flow, The Data Exchange, The AI Conference, Databricks (advisor), Anyscale (advisor), Linux Foundation (Strategic Content Chair for AI)
- **Nationality:** Filipino-American
- **Education:** Graduate studies (Mathematics/Statistics), University of California, Santa Barbara
- **Known for:** Chief Data Scientist at O'Reilly Media, one of the most influential roles in the data/AI media landscape, Program Chair for Strata Data Conference, O'Reilly AI Conference, TensorFlow World, and Spark AI Summit, Founded Gradient Flow newsletter, ranked by Coursera as one of the top 10 sites for data scientists

## Career timeline

- **early career** — Taught at University of the Philippines
- **early career** — Taught at UC Santa Barbara
- **early career** — Assistant Professor at UC Davis
- **early career** — Founding Department Chair, Statistics and Mathematics, CSU Monterey Bay
- **early career** — Visiting Member, Mathematical Sciences Research Institute (MSRI), Berkeley
- **2000s** — Applied ML and data science in investment management, internet startups, and financial services
- **2010** — Joined O'Reilly Media as Chief Data Scientist & Director of Content Strategy for Data
- **2010s** — Program Chair, Strata Data Conference
- **2010s** — Program Chair, O'Reilly AI Conference
- **2018** — Program Chair, TensorFlow World
- **2019** — Launched The Data Exchange podcast
- **2019** — Program Chair, Spark AI Summit
- **2020** — Founded Gradient Flow as independent research and newsletter platform
- **2024** — Coined and promoted the PARK Stack concept
- **2024-2025** — Chair, The AI Conference (San Francisco)
- **2025** — Co-organizer, AI Agent Conference 2025, New York City
- **2025** — Strategic Content Chair for AI, Linux Foundation AI_dev Summit
- **2025** — Co-Chair, Ray Summit, NLP Summit, Data+AI Summit, K1st World

## Achievements

- Chief Data Scientist at O'Reilly Media, one of the most influential roles in the data/AI media landscape
- Program Chair for Strata Data Conference, O'Reilly AI Conference, TensorFlow World, and Spark AI Summit
- Founded Gradient Flow newsletter, ranked by Coursera as one of the top 10 sites for data scientists
- Hosted The Data Exchange podcast - 342+ episodes, top 0.5% globally
- Coined the PARK Stack (PyTorch, AI Frontier Models, Ray, Kubernetes) as the standard AI production infrastructure framework
- Currently chairs 6+ major AI conferences simultaneously
- Advisor to Databricks, Anyscale, Alluxio, and other leading ML infrastructure companies

## Latest updates

- **2026-04** — Actively promoting the PARK Stack framework on X (@bigdata) and Gradient Flow newsletter
- **2026-04** — Publishing on data engineering for 'machine users' (AI agents consuming data pipelines)
- **2025-09** — Chaired The AI Conference 2025 at Pier 48, Mission Rock, San Francisco (Sept 17-18)
- **2025** — Co-organized AI Agent Conference 2025 in New York City
- **2025** — Named Strategic Content Chair for AI at Linux Foundation AI_dev Summit
- **2025** — Published 'The State of AI in 2025' and 'Your AI Playbook for the Rest of 2025' on Gradient Flow Substack

## Links

- Website: https://gradientflow.com
- LinkedIn: https://www.linkedin.com/in/benlorica/
- Twitter/X: https://x.com/bigdata

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Profile page: https://yespress.io/ben-lorica
Published by YesPress — https://yespress.io
Last updated: 2026-04-27