PeopleofSuperintelligence

Researcher

Marten Wegkamp

Marten Wegkamp is a statistician whose work includes statistical learning theory and machine learning. He earned a mathematics PhD at Leiden University in 1996 and joined Cornell's faculty in 2011. His papers develop adaptive rank estimation and prediction bounds for latent-factor regression. He contributed theory to the 2024 SLIDE study, a statistical machine-learning method for finding disease factors, and coauthored a multiclass regression framework that was revised in April 2026. As of October 2026, he is a professor of statistics and data science at Cornell.

Works
77
Citations
3,039
h-index
24

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 1996

    Mathematics PhD at Leiden

    He earns a PhD in mathematics from Leiden University in 1996.

  2. 2011

    Joining Cornell's faculty

    He joins Cornell's faculty in 2011.

  3. 2019

    Adaptive rank estimation

    With Xin Bing, he publishes a 2019 Annals of Statistics paper on adaptive rank estimation for high-dimensional multivariate response regression.

  4. 2021

    Prediction under latent factors

    He coauthors a Journal of Machine Learning Research paper with Xin Bing, Florentina Bunea and Seth Strimas-Mackey. It establishes finite-sample prediction risk bounds for principal component regression under a latent-factor model.

  5. February 2024

    Theory behind the SLIDE method

    The SLIDE study draws on theoretical work by Wegkamp and other coauthors. The statistical machine-learning method finds previously unknown factors behind disease in complex biological data.

  6. February 2024–April 2026

    A regression lens on classification

    In February 2024, he coauthors a preprint with Xin Bing and Bingqing Li that presents a regression framework that links linear discriminant analysis with multivariate response regression. It supports structured, regularized and nonparametric methods and gives bounds on excess misclassification risk. The paper is revised in April 2026.

  7. As of October 2026

    Professor of statistics and data science

    As of October 2026, he is a professor of statistics and data science at Cornell. His research includes mathematical statistics, empirical process theory, high-dimensional statistics, statistical learning theory and machine learning.

Career

  1. NowCornell UniversityProfessor of Statistics and Data Science
  2. From 2011Cornell UniversityFaculty Member
  3. 2002–2011Florida State University
  4. 1998–2003Yale University

Education

  1. 1996Leiden UniversityPhD in Mathematics

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

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. Marten Wegkamp | Department of Statistics & Data Science | Cornell Bowers stat.cornell.edu. Checked 27 October 2026.
  2. Marten Wegkamp - Publications sites.google.com. Checked 27 October 2026.
  3. Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond jmlr.org. Checked 27 October 2026.
  4. Statistical machine learning can find unknown factors behind disease | Cornell Chronicle news.cornell.edu. Checked 27 October 2026.
  5. [2402.14260] A New Regression Lens on Multi-Class Classification arxiv.org. Checked 27 October 2026.