Author

Richard B. Lee

University of Toronto

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Amanda J. LeaiD· 1 shared Benjamin C. TrumbleiD· 1 shared Bret BeheimiD· 1 shared Brian F. CoddingiD· 1 shared Hillard S KaplaniD· 1 shared Ian J. WallaceiD· 1 shared J C HoffmaniD· 1 shared Jonathan StieglitziD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Amanda J. LeaORCID

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1 paper

Recent·Most cited

Evaluating performance bias in face-to-BMI vision transformer models across diverse human populations

J C Hoffman, Michael Gurven, Hillard S Kaplan, Jonathan Stieglitz, Benjamin C. Trumble, Bret Beheim, Paul L. Hooper, Richard B. Lee, Julia R. Phelps, Kim Hill, Brian F. Codding, Simon Brewer, Yvonne Ai Lian Lim, Amanda J. Lea, Ian J. Wallace, , Thomas S. Kraft

This study evaluates how face-to-BMI Vision Transformer models perform across diverse human populations, finding that training on population-specific data improves accuracy, while global training data enhances performance in underrepresented groups.

bioRxiv · Sep 4, 2026 · PreprintBioinformatics