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Chester Chen

SF Big Analytics Organizer | Data Science Infrastructure | Federated Learning

Chester Chen is an accomplished professional currently serving as the Acting Product Manager and Senior Engineering Manager for Federated Learning at NVIDIA, based in Santa Clara, California. With over 20 years of experience in technology and engineering management, he has a strong background in machine learning, data infrastructure, and analytics.

Professional Background

  • Current Role: Chester has been with NVIDIA since March 2022, where he leads efforts on the open-source project NVFlare (NVIDIA Federated Learning Application Runtime Environment). This initiative focuses on enabling federated learning, allowing multiple parties to collaborate on AI model training while preserving data privacy.14

  • Previous Experience:

    • Director of Data Science Engineering at GoPro: From November 2019 to March 2022, he was responsible for overseeing data solutions and building high-performance teams focused on data analytics and machine learning infrastructure.1
    • Director of Engineering at Alpine Data Labs: He led engineering efforts at this machine learning startup from September 2013 to June 2016.1
    • Technical Roles at Symantec and Clearwell Systems: Chester has held various technical leadership positions, contributing to architecture and development in software solutions related to data management and electronic discovery.1

Contributions to Federated Learning

Chester Chen is particularly noted for his work in federated learning, a decentralized approach to machine learning that enhances data privacy. His team at NVIDIA is focused on developing frameworks that facilitate collaborative learning across different sectors, including healthcare and finance. He has been involved in significant projects that demonstrate the practical applications of federated learning technologies.245

Community Engagement

In addition to his corporate responsibilities, Chester is actively engaged in the tech community:

  • Founder and Organizer of SF Big Analytics Meetup: Since January 2015, he has organized events covering topics in data analytics and machine learning, connecting professionals from various leading companies and universities.1
  • Speaker and Contributor: He frequently shares insights through articles and talks related to federated learning and its implications for privacy-preserving AI.35

Chester Chen's extensive experience and leadership in federated learning position him as a key figure in advancing this innovative area of technology at NVIDIA.

Highlights

Aug 16 · linkedin

Its kind of hard to listen to yourself talk. I wish I could done better.

Here is the talk I give last week at NYC on NVIDIA FLARE and Confidential FL (https://lnkd.in/gGkP7JFX).

Aug 16 · linkedin

NVIDIA FLARE DAY 2024 Sept. 18 8 am -- 12:30 PST https://lnkd.in/gUgKKgug

Speaker Highlights: Robin Röhm, co-founder and CEO of Apheris Ellie Dobson, VP Product at Apheris

Federated data collaboration in BioPharma: leveraging NVFlare and BioNeMo

Explore the critical role of security, governance, and privacy in federated data collaboration in the BioPharma industry. This talk will focus on how computational governance, with NVFlare at its heart, revolutionizes federated training and evaluation. We'll present a practical case study of a BioNeMo implementation on Apheris' product, highlighting effective strategies for governance, privacy, and security. This session offers a streamlined guide to compliant ML practices, blending insight with real-world application, tailored for professionals working in highly regulated data environments.

Robin Röhm is co-founder and CEO of Apheris, enabling governed, private, and secure computational access to data for ML. Robin is passionate about helping organizations safeguard their data assets and IP while ensuring it can be leveraged for AI. Having experienced first-hand the challenges of distributed data and regulatory constraints, he understands the need to overcome these to unleash the true value of data that’s currently sitting unused in organizations today. It’s this data that will ultimately help us deliver solutions that have a positive impact on society and our planet. Prior to Apheris, Robin founded three start-ups, worked in financial services and strategy, and has degrees in medicine, philosophy, and mathematics.

Ellie Dobson (VP Product at Apheris) oversees the development of Apheris’ federated computational governance product that enables data owners to securely make data available for ML. By enabling governed, private, secure algorithmic access to data, businesses will be able to safely leverage even the most sensitive data for ML and AI. Prior to Apheris, Ellie has worked in many aspects surrounding AI ranging from accelerator technology to enterprise data management. Having experienced such regulatory challenges first-hand herself, she is excited to enable heavily regulated industries to benefit from AI.

Related Questions

What are some of the key projects Chester Chen has led at NVIDIA?
How did Chester Chen transition from technical roles to management positions?
What is the NVFlare project that Chester Chen is working on at NVIDIA?
Can you provide more details about the SF Big Analytics Meetup that Chester Chen founded?
What technologies did Chester Chen use in his role at GoPro?
Chester Chen
Chester Chen, photo 1
Chester Chen, photo 2
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Location

Santa Clara, California, United States