PeopleofSuperintelligence

Researcher

Andrew Gordon Wilson

Also known as Andrew Wilson

Andrew Gordon Wilson is a machine-learning researcher whose work spans Gaussian processes, Bayesian methods, and deep learning. He earned a PhD in machine learning at the University of Cambridge and a BSc in mathematics and physics at the University of British Columbia, then led a machine-learning group at Cornell. His research includes KISS-GP, Deep Kernel Learning, and GPyTorch, a PyTorch platform for scalable Gaussian-process inference. A paper on Bayesian model selection that he coauthored won ICML's 2022 Outstanding Paper Award, and AISTATS gave his Deep Kernel Learning paper a Test of Time Honorable Mention in 2026. As of October 2026, he is a Professor at NYU and an Amazon Scholar working on time-series forecasting foundation models.

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Timeline

  1. By 2014

    A Cambridge PhD

    By 2014, he completes a PhD in machine learning at the University of Cambridge; his thesis is titled Covariance kernels for fast automatic pattern discovery and extrapolation with Gaussian processes. He also earns a BSc in mathematics and physics from the University of British Columbia.

  2. 2015–2016

    KISS-GP and deep kernel learning

    In 2015, he and Hannes Nickisch present KISS-GP at ICML, using kernel interpolation and structured matrices for scalable Gaussian-process inference. In 2016, he coauthors Deep Kernel Learning, which combines deep architectures with flexible kernel methods.

  3. 2017

    A Cornell machine-learning group

    At Cornell, he leads a machine-learning group and advises students in ORIE, Computer Science, Statistics, and CAM. In 2017, he organizes the NIPS symposium on Interpretable Machine Learning.

  4. 2018

    Building GPyTorch

    In 2018, he coauthors the GPyTorch paper, which presents a PyTorch platform for scalable Gaussian-process inference using blackbox matrix-matrix multiplication.

  5. 2022

    An ICML Outstanding Paper Award

    In 2022, he shares ICML's Outstanding Paper Award for Bayesian Model Selection, the Marginal Likelihood, and Generalization with Sanae Lotfi, Pavel Izmailov, Gregory Benton, and Micah Goldblum.

  6. 2025

    A position paper on deep learning

    In 2025, he publishes an ICML position paper examining benign overfitting, double descent, and overparameterization as generalization phenomena across model classes.

  7. 2026

    A Test of Time mention

    In 2026, AISTATS gives his 2016 paper Deep Kernel Learning a Test of Time Honorable Mention for its connection between deep learning and Gaussian processes.

  8. As of October 2026

    Professor at NYU and Amazon Scholar

    As of October 2026, he is a Professor in NYU's Courant Institute and Center for Data Science. He is also an Amazon Scholar working on foundation models for time-series forecasting within supply chain optimization technologies.

Career

  1. NowCourant Institute of Mathematical SciencesProfessor
  2. NowNew York UniversityProfessor
  3. NowAmazonAmazon Scholar
  4. Cornell UniversityMachine-learning group leader

Education

  1. 2014University of CambridgePhD in machine learning
  2. University of British ColumbiaBSc in mathematics and physics

From the biography.

Videos

YouTube videos in which Andrew Gordon Wilson speaks or appears, newest first. A model chose them from YouTube search results. List updated 21 October 2026.

  1. The Real Reason Huge AI Models Actually Work [Prof. Andrew Wilson]Machine Learning Street Talk · 19 September 2025 · 2 h 4 min

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  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Andrew Gordon Wilson. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. 16% of AI career moves in the 2020s went from a university to a companyIncludes Andrew Gordon Wilson. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  3. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Amazon. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes New York University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

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

Sources and credits

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  1. Andrew Gordon Wilson cims.nyu.edu. Checked 20 October 2026.
  2. Andrew Gordon Wilson cims.nyu.edu. Checked 20 October 2026.
  3. Pattern Discovery with Gaussian Processes cims.nyu.edu. Checked 20 October 2026.
  4. Deep Kernel Learning proceedings.mlr.press. Checked 20 October 2026.
  5. Andrew Gordon Wilson people.orie.cornell.edu. Checked 20 October 2026.
  6. GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration arxiv.org. Checked 20 October 2026.
  7. ICML 2022 Awards icml.cc. Checked 20 October 2026.
  8. Position: Deep Learning is Not So Mysterious or Different proceedings.mlr.press. Checked 20 October 2026.
  9. News & Announcements | ai @ NYU cims.nyu.edu. Checked 20 October 2026.