Adrien Weihs
publications
resume
I am a mathematician working on the foundations of machine learning with a focus on scaling laws.
Research Interests
Scaling Laws
Operator Learning
Approximation Theory
Hypergraph Learning
Deep Learning Theory
Active Learning
Short Resume
2024 - Present
Hedrick Assistant Adjunct Professor
University of California Los Angeles
Mentor: Andrea Bertozzi
2021 - 2024
PhD in Applied Mathematics
University of Manchester
Supervisors: Matthew Thorpe and Kody Law
2018 - 2019
Master of Advanced Studies in Mathematics
University of Cambridge
2015 - 2018
Bachelor of Science in Mathematics
Swiss Federal Institute of Technology (ETHZ)
From hypergraph to deep learning, I study how learning algorithms behave as data and models grow—explaining when methods work (or fail) at scale and designing algorithms that are provably robust, expressive, and efficient.
© Adrien Weihs 2025 All Rights Reserved
Adrien Weihs
publications
resume
I am a mathematician working on the foundations of machine learning with a focus on scaling laws.
Research Interests
Scaling Laws
Operator Learning
Approximation Theory
Hypergraph Learning
Deep Learning Theory
Active Learning
Short Resume
2024 - Present
Hedrick Assistant Adjunct Professor
University of California Los Angeles
Mentor: Andrea Bertozzi
2021 - 2024
PhD in Applied Mathematics
University of Manchester
Supervisors: Matthew Thorpe and Kody Law
2018 - 2019
Master of Advanced Studies in Mathematics
University of Cambridge
2015 - 2018
Bachelor of Science in Mathematics
Swiss Federal Institute of Technology (ETHZ)
From hypergraph to deep learning, I study how learning algorithms behave as data and models grow—explaining when methods work (or fail) at scale and designing algorithms that are provably robust, expressive, and efficient.
© Adrien Weihs 2025 All Rights Reserved
Adrien Weihs
Publications
resume
I am a mathematician working on the foundations of machine learning with a focus on scaling laws.
Research Interests
Scaling Laws
Operator Learning
Approximation Theory
Hypergraph Learning
Deep Learning Theory
Active Learning
Short Resume
2024 - Present
Hedrick Assistant Adjunct Professor
University of California Los Angeles
Mentor: Andrea Bertozzi
2021 - 2024
PhD in Applied Mathematics
University of Manchester
Supervisors: Matthew Thorpe and Kody Law
2018 - 2019
Master of Advanced Studies in Mathematics
University of Cambridge
2015 - 2018
Bachelor of Science in Mathematics
Swiss Federal Institute of Technology (ETHZ)
From hypergraph to deep learning, I study how learning algorithms behave as data and models grow—explaining when methods work (or fail) at scale and designing algorithms that are provably robust, expressive, and efficient.
© Adrien Weihs 2025 All Rights Reserved