Education

• PhD, Electrical Engineering: Systems, University of Michigan, 2016
  • Thesis: Functional Analytic Perspectives on Non‑Parametric Density Estimation
  • Advisor: Clayton Scott
• MS, Mathematics, University of Michigan, 2015
• MS, Electrical Engineering: Systems, University of Michigan, 2012
• BS, Mathematics, University of Portland, 2008
• BS, Electrical Engineering, University of Portland, 2008

Affiliations

• Technische Universität Berlin / BIFOLD (2020–2024)
  • Post‑doc / Senior Researcher, Machine Learning Group
• TU Kaiserslautern (2017–2019)
  • Post‑doc, Machine Learning Group
• Humboldt‑Universität zu Berlin (2017)
  • Post‑doc with Marius Kloft in the Computer Science Department
• University of Michigan (2010–2016) — Graduate student with Clayton Scott

Talk Videos

• On the Geometry of Images in Human & Neural Network Representation Spaces — DiDa Conference 2024
• Inferring and Comparing the Concept Spaces of Humans and Neural Networks — Prague Computer Science Seminar 2023
• A Proposal for Supervised Density Estimation — NeurIPS Prereg Workshop 2020
• An Operator Theoretic Approach to Non‑Parametric Mixture Models — ITA 2016
• Consistency of Robust Kernel Density Estimators — COLT 2013

CV

Available upon request.

Geography

Born and raised in the Pacific Northwest (USA). After completing undergraduate studies there, I moved to Michigan for graduate school and later to Germany for post‑doctoral work. Self‑taught German (~B1/B2 CEFR).

Personal

I’m 6′ 8″ / 202 cm tall—about 3.1 σ above the mean male height in many regions (source). I no longer play basketball, but did in high school.

Things I enjoy:

• Electronic music
• Swimming
• Go (board game) — formerly ~5 kyu on KGS