PeopleofSuperintelligence

Researcher

Henry Schneiderman

Henry Schneiderman is a computer vision researcher whose statistical face detection work at Carnegie Mellon's Robotics Institute grew into the face recognition company PittPatt. After a bachelor's degree at Brown University, he completed a Carnegie Mellon PhD thesis in May 2000 on detecting faces and cars across viewpoints and stayed on as full-time research faculty until 2004. His 1998 CVPR paper with Takeo Kanade on probabilistic modeling of local appearance and spatial relationships won the 2008 Longuet-Higgins Prize. He co-founded Pittsburgh Pattern Recognition in 2004 and served as its CEO; Google bought the company in July 2011, and he went on to help bring its face recognition technology into Android. Today he works at Pittsburgh Data Science LLC, building open-box neural networks with physical laws hardcoded into their architecture to model radiative transfer in the atmosphere.

Timeline

  1. 1990s

    From Brown to Carnegie Mellon

    He grows up in Storrs, Connecticut, earns a bachelor's degree at Brown University, and goes on to master's and doctoral degrees at Carnegie Mellon. His 1994 paper "Visual Tracking for Autonomous Driving" appears in IEEE Transactions on Robotics and Automation. His object-recognition research at Carnegie Mellon University's Robotics Institute begins in the 1990s.

  2. June 1998

    A CVPR paper with Takeo Kanade

    In June 1998, he and Takeo Kanade present "Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition" at CVPR. Their algorithm counts how often about 1,000,000 local appearance patterns occur in training images and uses those statistics to detect human faces in frontal and profile views.

  3. 2000–2004

    A doctorate in robotics

    In May 2000, he completes his PhD thesis, "A Statistical Approach to 3D Object Detection Applied to Faces and Cars", whose detector reliably finds faces from frontal to full profile view and cars across a wide range of viewpoints. With his doctoral degree in robotics in hand, he serves as full-time research faculty at Carnegie Mellon from 2000 to 2004.

  4. September 2004

    Co-founding PittPatt

    He co-founds Pittsburgh Pattern Recognition (PittPatt) in September 2004 with fellow CMU PhD graduates Michael Nechyba and Michael A. Sipe to commercialize his face detection research. As CEO, he leads a company whose software offers face detection, tracking and recognition, and he stays on at Carnegie Mellon as adjunct faculty.

  5. 2008

    The Longuet-Higgins Prize

    He and Takeo Kanade win the 2008 Longuet-Higgins Prize for their 1998 CVPR paper, cited as a significant advance in object recognition that yields a state-of-the-art face detection technique. The prize honors fundamental contributions in computer vision that have withstood the test of time.

  6. 2011–2012

    Google acquires PittPatt

    Google buys PittPatt in July 2011, when he is the company's president and CEO. By April 2012, he works on computer vision products and services at Google and helps integrate PittPatt's face recognition technology into the Android operating system.

  7. 2025

    Open-box radiative transfer networks

    In 2025, he presents an open-box physics-based neural network for longwave radiative transfer at the American Meteorological Society's 24th Conference on Artificial Intelligence for Environmental Science in New Orleans. Artificial Intelligence for the Earth Systems publishes his shortwave model in December 2025: a network of just 3475 weights with Beer's law, the adding–doubling algorithm and conservation laws hardcoded into its architecture.

  8. As of October 2026

    Research at Pittsburgh Data Science

    He works at Pittsburgh Data Science LLC in Pittsburgh, Pennsylvania, on machine learning, computer vision, robotics, atmospheric science and weather. His shortwave paper appears in the January 2026 print issue of Artificial Intelligence for the Earth Systems, and its source code is public on GitHub.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Henry Schneiderman yet. Send us a free-licensed photo.

  1. The Journey from Algorithm to Product - Robotics Institute Carnegie Mellon University ri.cmu.edu. Checked 19 October 2026.
  2. News Brief: CMU Startups @ Google - News - Carnegie Mellon University cmu.edu. Checked 19 October 2026.
  3. Henry Schneiderman's Home Page cs.cmu.edu. Checked 19 October 2026.
  4. Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition - Robotics Institute Carnegie Mellon University ri.cmu.edu. Checked 19 October 2026.
  5. A Statistical Approach to 3D Object Detection Applied to Faces and Cars - Robotics Institute Carnegie Mellon University ri.cmu.edu. Checked 19 October 2026.
  6. Schneiderman and Kanade Win Longuet-Higgins Prize for Seminal Paper on Face Detection Technology cs.cmu.edu. Checked 19 October 2026.
  7. Face Detection - Robotics Institute Carnegie Mellon University ri.cmu.edu. Checked 19 October 2026.
  8. I See You - Carnegie Mellon University | CMU cmu.edu. Checked 19 October 2026.
  9. Google grabs facial-recognition 'ware firm theregister.com. Checked 19 October 2026.
  10. An Open-Box Physics-Based Neural Network for Modeling Shortwave Radiative Transfer in: Artificial Intelligence for the Earth Systems Volume 5 Issue 1 (2025) journals.ametsoc.org. Checked 19 October 2026.
  11. Henry Schneiderman - Google Scholar scholar.google.com. Checked 19 October 2026.
  12. GitHub - henry-schneiderman/openbox_neural_networks: "Open box" neural networks for radiative transfer and other problems in weather and atmospheric science github.com. Checked 19 October 2026.