Justin D. Norman

Justin D. Norman

PhD Student | ML/AI Consultant

UC Berkeley

Hey! I’m Justin Norman.

I’m a fourth year PhD candidate at UC Berkeley, where I am advised by Hany Farid. I am interested in research in computer vision, computational photography, generative AI and machine learning engineering. I am a recipient of the Marcus Foster Fellowship.

My PhD projects to this point have centered around evaluating and improving the robustness of traditional and generative computer vision systems, in applied AI use cases.

My last role in industry was VP, Data Science, Analytics and Data Products at Yelp. Previously, I was the Director of Research and Data Science at Cloudera Fast Forward Labs, Head of Applied Machine Learning at Fitbit, the Global Head of Cisco’s Enterprise Data Science Office and a Big Data Systems Engineer with Booz Allen Hamilton. In another life, I served as a Marine Corps Officer, with a focus in Systems Analytics and Intelligence.

Interests
  • Computer Vision
  • Machine Learning
  • MLOps | Data Engineering
  • ML Systems Design
Education

  • PhD in Computer Vision | Machine Learning, 2024 (expected)

    UC Berkeley

  • MBA w/ concentration in Business Analytics, 2015

    University of Southern California

  • Master's Certificate in Technology Commercialization, 2015

    University of Southern California

  • BS in Computer Science, 2007

    United States Naval Academy

Projects

Justin D. Norman, Cedric Deslandes Whitney (2024). Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention. (ACM FAccT).

DOI

Justin D. Norman, Hany Farid (2024). An Investigation into the Impact of AI-Powered Image Enhancement on Forensic Facial Recognition. (CVPR Conference Paper).

Justin D. Norman, Shruti Agarwal, Hany Farid (2023). An Evaluation of Forensic Facial Recognition. (ArXiv Pre-Print).

DOI

Experience

 
 
 
 
 
JDN & Associates, LLC
CEO
JDN & Associates, LLC
Jan 2022 – Present California

Head of a Machine Learning Research and Data Systems Integration consultancy. Core competencies include:

  • Computer Vision and Computational Photography
  • Machine Learning Research
  • Machine Learning System Design and Deployment
  • Large-Scale Data Systems Design
  • Enterprise Software Procurement and Integration
 
 
 
 
 
Yelp
VP, Data Science, Analytics & Data Products
Yelp
Nov 2019 – Dec 2021 California
As the head of Data Science and Data Product at Yelp, was responsible for five functional Data Science teams and the corporate Data Product Management team, as well as the Yelp DS/ML experimentation platform (Bunsen) and the Core Machine Learning Platform.
 
 
 
 
 
Cloudera Fast Forward Labs
Director, Research and Data Science
Cloudera Fast Forward Labs
Jul 2018 – Nov 2019 California
Served as the head of machine learning research at Cloudera, supervising a diverse team of over 30, composed of research engineers, Data Science Managers, Front-end Designer/Developers, Technical Program Managers and ML engineers.
 
 
 
 
 
Fitbit
Head of Applied Machine Learning
Fitbit
Jan 2018 – Jul 2019 California
Led a team of data scientists and machine learning engineers in the development of algorithmic applications for fitness and health monitoring.
 
 
 
 
 
Cisco
Senior Manager, Enterprise Data Science
Cisco
Apr 2012 – Dec 2019 California
As the Chief Data Scientist and Data Science Team lead at the Cisco Enterprise Data Science office, responsible for model selection, development, training and validation of analytical products.

Contact

  • justin - dot - norman - at - berkeley - dot - edu