PeopleofSuperintelligence

Researcher

Greg Benton

Also known as Gregory Benton, Gregory W. Benton

Greg Benton is a machine-learning researcher whose work spans Gaussian processes, neural-network invariances, Bayesian model selection, and applied AI. At NYU, he completed a computer science PhD and developed methods for kernel learning, fast ensembling, and model comparison. His coauthored Bayesian model-selection paper received ICML's Outstanding Paper Award in 2022, and he led applied language-model work at Celonis through July 2025. Since July 2025, he is a Senior Applied Scientist at Dandy, where he works on multimodal generative models for bespoke prosthetic design.

Now at
Dandy
Works
7
Citations
104
h-index
6
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2019–2023

    A PhD at NYU

    By 2023, he completes a computer science PhD at NYU and earns bachelor's and master's degrees in applied mathematics at the University of Colorado.

  2. 2019–2021

    Kernel learning and fast ensembling

    His NYU doctoral work under Andrew Gordon Wilson studies Gaussian processes and neural-network structure. In 2019, he coauthors Function-Space Distributions over Kernels, introducing functional kernel learning. His other papers include Learning Invariances in Neural Networks from Training Data in 2020 and Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling in 2021.

  3. 2020

    Podcast recommendations at Spotify

    At Spotify in 2020, he works as a research intern and develops podcast recommendations from sequential listening patterns.

  4. 2021

    Forecasting at J.P. Morgan

    At J.P. Morgan in 2021, he works as a quantitative research summer associate on stochastic differential equations and options-pricing methods.

  5. 2022

    Threat detection at Microsoft Research

    At Microsoft Research in 2022, he researches neural and graph-based methods for fileless-attack detection, including a weakly supervised model trained on billions of shell commands.

  6. 2022

    An ICML Outstanding Paper

    In 2022, his coauthored Bayesian Model Selection, the Marginal Likelihood, and Generalization receives ICML's Outstanding Paper Award. It finds that marginal likelihood can be negatively correlated with generalization and proposes conditional marginal likelihood as a partial remedy. He also coauthors a 2022 Gaussian-process forecasting paper that introduces Volt and Magpie for stock and wind-speed forecasting.

  7. February 2023–July 2025

    Language models at Celonis

    From February 2023 to July 2025, he works as a Senior Applied Scientist at Celonis, developing custom process-event tokenization and fine-tuning LLMs for event prediction. He leads a roughly five-person team taking enterprise LLM and agent applications into production.

  8. Since July 2025

    Generative models at Dandy

    Since July 2025, he is a Senior Applied Scientist at Dandy, where he works on multimodal generative models for bespoke prosthetic design. These models feed into manufacturing lines with little human intervention.

Career

  1. Since 2025DandySenior Applied Scientist
  2. 2023–2025CelonisSenior Applied Scientist
  3. 2022Microsoft Research
  4. 2021JPMorgan ChaseQuantitative research summer associate
  5. 2020SpotifyResearch intern

Education

  1. 2023New York UniversityComputer science PhD
  2. University of ColoradoBachelor's degree in applied mathematics

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Greg Benton. 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. 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 Microsoft. 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.
  3. 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.
  4. Google had the most people shaping AI every year from 2014 to 2025Includes Microsoft. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

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 Greg Benton yet. Send us a free-licensed photo.

  1. Greg Benton — Applied Scientist gregwbenton.com. Checked 21 October 2026.
  2. [1910.13565] Function-Space Distributions over Kernels arxiv.org. Checked 21 October 2026.
  3. Learning Invariances in Neural Networks from Training Data proceedings.neurips.cc. Checked 21 October 2026.
  4. [2102.13042] Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling arxiv.org. Checked 21 October 2026.
  5. ai @ nyu - News | ai @ NYU cims.nyu.edu. Checked 21 October 2026.
  6. Bayesian Model Selection, the Marginal Likelihood, and Generalization proceedings.mlr.press. Checked 21 October 2026.
  7. Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes proceedings.mlr.press. Checked 21 October 2026.