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Angela Gao

Angela Gao

CTO/cofounder @fearn | Caltech PhD | CMU | a16z sr005

2025Co-founder· Fearn
Founder · since 2025
Company
Fearn
Role
Co-Founder and CTO
current
Stage
—
no public source
Raised
—
no public source
Based
—
Founder / co-founder — the company's markEmployee / research role
Source: LinkedIn work history
Profile coverage5 of 7 · missing posts, contact
Fearn logo
Fearn

Big Law patents. Startup speeds. Fearn is the AI-native patent firm built for startups.

Speedrun 005

Experience

Career

  • Fearn logo

    Fearn

    Co-founder

    Co-Founder and CTO · 2025 – Present

    2025
  • Caltech logo

    Caltech

    Research Assistant · 2019 – 2025

    2019
  • Google logo

    Google

    Research Intern · Mountain View, California, United States · 2022

    2022
  • National Heart, Lung, and Blood Institute logo

    National Heart, Lung, and Blood Institute

    Summer Research Intern · Washington DC-Baltimore Area · 2019

    2019
  • Carnegie Mellon University's College of Engineering logo

    Carnegie Mellon University's College of Engineering

    Research Assistant · Greater Pittsburgh Area · 2017 – 2019

    2017
  • Carnegie Mellon University logo

    Carnegie Mellon University

    Student Supervisor · Greater Pittsburgh Area · 2018

    2018
  • Carnegie Mellon University logo

    Carnegie Mellon University

    EXCEL Leader · Greater Pittsburgh Area · 2016 – 2018

    2016
  • EPFL (École polytechnique fédérale de Lausanne) logo

    EPFL (École polytechnique fédérale de Lausanne)

    Summer@EPFL Intern · Lausanne Area, Switzerland · 2018

    2018
  • Princeton University logo

    Princeton University

    Visiting Student Researcher · 2017

    2017
  • Morsel Club logo

    Morsel Club

    Software Engineer Intern · Greater New York City Area · 2016

    2016

Bio

Prior to Fearn, I completed my PhD at Caltech, studying AI and its mathematical underpinnings. My PhD thesis focused on developing physics-aligned generative models. I also worked at Google Research, where I developed proprietary AI models. At Fearn, I continue to develop rule-aligned models, but instead of physics alignments, our AI models are aligned to the rule of law.