PhD candidate in Philosophy · University of Pennsylvania

Researcher in philosophy of science, statistics, and sports analytics.

I study how values, institutions, and modeling choices shape scientific inference—and build statistical models for concrete problems in sports, public health, and scientific practice.

Max Gebauer standing beside the broad, buttressed trunk of a silk-cotton tree in a tropical forest Silk-cotton tree · St. John, U.S. Virgin Islands · 2026

Research Program

01

Values, Bayesianism & scientific practice

Whether applied Bayesian inference can avoid inductive risk, where values enter scientific practice, and whether Bayesianism can remain value-free in the relevant sense.

02

Scientific integrity & institutional design

How institutions police plagiarism, p-hacking, and other academic misconduct—and how enforcement can protect inquiry without allowing accusations to be weaponized against scholars because of identity or political viewpoint.

03

Applied sports & health modeling

Matchup-adjusted ratings, expected-outcome models, and public-health research where prediction, interpretation, and decision-making must work together.

Flagship Statistics & Analytics Projects

Abstract baseball field with batted-ball trajectories and a calibration curve representing FAIR xwOBA
Public release · rolling development evidence

FAIR xwOBA

A public, player-trait-free baseball model that predicts the value of a batted ball, validates it across rolling held-out MLB seasons, and uses residuals to study Sprint Speed.

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Abstract diagram of opposing football players connected through a sequence of time-indexed matchups
Revisions · arXiv preprint

Opponent-Adjusted Evaluation of NFL Pass Blocking and Pass Rushing Performance

Public research on interpretable blocker and rusher ratings built from sparse, opponent-dependent tracking interactions.

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Abstract county map with highlighted spatial neighbors and a sparse set of selected variables
M.A. thesis · 2026

Sparse Controls in Spatial Epidemiology

An M.A. thesis on high-dimensional confounding, unstable county mortality rates, and residual spatial dependence.

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Places and people

A wider frame.

Away from the desk, I follow the NFL, college football, and baseball; cook at home and have explored more than 200 Philadelphia restaurants; track prediction markets; and bring an almost comically experimental mindset to blind tastings from my American whiskey collection.

Maximilian Gebauer standing on a young lava field with an active volcanic fissure erupting behind him in Iceland.
Newly formed volcanic fissure, Iceland, 2021. The eruption began during my visit, offering an unexpected opportunity to see the active site firsthand. Personal collection of Maximilian J. Gebauer.
A steep, rocky island rises from the Atlantic beneath circling seabirds in the Skellig Islands.
The Skellig Islands, County Kerry, Ireland, 2022. Nearby Skellig Michael appeared as Ahch-To in Star Wars: The Force Awakens and The Last Jedi. Personal collection of Maximilian J. Gebauer.
Green ribbons of northern lights arc above a small illuminated lighthouse on the Icelandic coast.
Northern lights above a coastal lighthouse, Iceland, 2021. Photograph by Maximilian J. Gebauer.
Tall trees and exposed rocks covered in green moss in an Irish woodland.
Moss-covered woodland, Ireland, 2022. Personal collection of Maximilian J. Gebauer.
Maximilian Gebauer and colleagues from the Wharton sports analytics summer lab seated together at a Philadelphia Phillies game.
With colleagues from the Wharton Sports Analytics and Business Initiative Summer Lab at a Philadelphia Phillies game, 2025. Personal collection of Maximilian J. Gebauer.

Current work

Research grounded in uncertainty.

I am a PhD candidate in Philosophy and earned an M.A. in Statistics & Data Science at Penn. I welcome conversations that cross disciplinary boundaries while staying grounded in concrete problems.

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