Website update (May 31 2026)!!! The CV and publication pages were recently repaired after an incorrect rendering issue. If you encounter any display problems, please let me know.
Interdisciplinary mathematician - theorist by training. Ph.D.,UC Berkeley. Ph.D., UC Berkeley; postdoctoral researcher at the University of Vienna.
US citizen residing in Austria.
neumana53 [at] univie [dot] ac [dot] at; marsneuman [dot] work [dot] gmail
Social media (gradually active): LinkedIn (same name)
Interests: harmonic analysis (pure, applied, computational); graph-based learning; high dimensional probability; statistical optimal transport; information theory
--I'm currently exploring graph-based learning, spiking neural networks, agentic reasoning, wave packets, and high dimensional probability. While my mathematical explorations are broad, they cluster around: analysis, probability, linear algebra, geometry, and some topology, additive combinatorics.--
Left: My talk at AI seminar - MacMaster U on contrastive learning
My paper exploring the theoretical foundation of contrastive learning is on route to get accepted at Journal of Machine Learning Research
My paper exploring learning guarantees through metric embedding is published with IEEE Transactions of Information Theory
My paper on spiking neural networks is published with Journal of Machine Learning Research
My paper on practical existence theorem (PET) using Slepian basis is on route to get accepted at Information and Inference: a Journal of the IMA
My paper on theoretical advantage of GNNs is published with Information and Inference: a Journal of the IMA
A new paper on in-context vs agentic learning under realizability constraints
A new paper on probing internal looped reasoning dynamics
A new paper on transductive learning guarantees and small random worlds
(Expecting soon)
A new paper on consistency of graph-based algorithms
A new paper on spiking neural networks
A new paper on fast transforms of SSLOs
I will present a poster on probing internal looped reasoning dynamics at FoCM26
I will present at SIAM DS 26
I presented consistency of augmentation graph Laplacian and contrastive learning at SampTA 25
Philipp Petersen -- University of Vienna
Anastasis Kratsios -- McMaster University & Vector Institute
Simone Brugiapaglia -- Concordia University
Jason Bramburger -- Concordia University
Jeff Calder -- University of Minnesota
Chenghui Li -- University of Wisconsin-Madison
Shashank Sule -- University of Maryland
Giulia Livieri -- London School of Economics and Political Science
Nils Detering -- Heinrich Heine University Düsseldorf
Luca Galimberti -- King's College London
Azita Mayeli -- City University of New York
Arie Israel -- University of Texas-Austin
Kevin Hughes -- Edinburgh Napier University