Francois Chaubard

CEO

Palo Alto, California, United States15 yrs 5 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Founder of a leading retail AI company
  • PhD candidate at Stanford AI Lab
  • Visiting Partner at Y Combinator
Stackforce AI infers this person is a leader in AI-driven retail technology.

Contact

LinkedIn

Skills

Core Skills

Artificial IntelligenceResearchLeadershipRetail AiDeep LearningComputer VisionTeachingMachine LearningEngineeringLeadership Development

Experience

15 yrs 5 mos
Total Experience
4 yrs 7 mos
Average Tenure
1 yr 8 mos
Current Experience

Y combinator

Visiting Group Partner

Oct 2025 – Present · 7 mos · San Francisco Bay Area · On-site

Stanford university

PhD - Computer Science

Sep 2024 – Present · 1 yr 8 mos

  • Stanford AI Lab (SAIL) co-advised by Chris Ré and Mykel Kochenderfer
  • Research:
  • Improved Training Paradigms for AI (GAF, SPSA, etc)
  • Diffusion Policies + World Models
  • Zero Order Optimization
  • Cum GPA: 4.0
Artificial IntelligenceResearch

Focal systems

2 roles

Chief Technology Officer

Mar 2024 – Aug 2024 · 5 mos · San Francisco Bay Area

  • Hired in new CEO to replace me and remained on as CTO for 6 months

Founder / CEO / Board Member

Jul 2015 – Mar 2024 · 8 yrs 8 mos · San Francisco Bay Area

  • Focal is a 250+ person global company with offices in US, Canada, and UK. We are the industry leader in retail AI. Our mission is to lower the cost of living for all mankind by automating and optimizing brick and mortar retail.
  • We are looking for smart, creative and passionate people who love to learn, enjoy thinking critically, and care about values. See open positions at https://focal.systems/careers
LeadershipRetail AI

Stanford university

4 roles

CS224D: Deep Learning for NLP (Natural Language Processing), Teaching Assistant

Jan 2015 – Jan 2015 · 0 mo

  • Created class from ground up. Lectures, notes, and homework assignments:
  • http://cs224d.stanford.edu/lecture_notes/LectureNotes1.pdf
  • http://cs224d.stanford.edu/lecture_notes/LectureNotes5.pdf
TeachingDeep Learning

CS231M: Mobile Computer Vision, Teaching Assistant

Mar 2014 – May 2014 · 2 mos

  • Created course from scratch with 2 others.
TeachingComputer Vision

Computer Vision Researcher, CVGL Group

Jan 2014 – Jan 2015 · 1 yr

  • Researched Computer Vision under Fei-Fei Li.
Computer VisionResearch

CS229: Machine Learning, Teaching Assistant

Sep 2013 – Dec 2013 · 3 mos

Machine LearningTeaching

Apple

Deep Learning Researcher

Jan 2015 – Jan 2015 · 0 mo · Cupertino, CA

  • Deep Learning Computer Vision at Apple
Deep LearningComputer Vision

Nasa

USRP Researcher

Sep 2009 – Nov 2009 · 2 mos

Lockheed martin

2 roles

Intern

Apr 2009 – Aug 2009 · 4 mos

  • Modeled intercepted missiles to analyze the certainty probability of the Kill Assessment Systems (KAS) for AEGIS

Engineering Leadership Development Program

Jan 2009 – Sep 2012 · 3 yrs 8 mos

EngineeringLeadership Development

Education

Stanford University

phd — Artificial Intelligence

Sep 2024 – Present

Y Combinator

W16

Jan 2016 – Present

Stanford University

Master's degree — Computer Science

Jan 2015 – Jan 2016

Stanford University

Master's degree — Electrical Engineering

Jan 2012 – Jan 2014

University of Delaware

Bachelor of Science (BS) — Mechanical Engineering

Jan 2006 – Jan 2009

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