TMLR 2026
I am currently a Senior Researcher (AI) at Software Competence Center Hagenberg (SCCH). My background is in mathematics, physics, and statistics, and my doctoral work, carried out within the S3AI project, focused on invariant geometric structures, notably convexity interpreted as space folding. I work across machine learning, neural-network geometry, mechanistic interpretability, and surrogate models for physical simulation, with additional experience in computer vision, natural language processing, and time-series modeling.
Research Landscape
How my research themes, papers, and projects connect. Hover or focus a keyword to preview it; select it to open its page.Tap a keyword to preview it, then follow its links.
Geometry, symmetry, and learning
The shaded regions mark research areas; the filled nodes connect research themes with papers and projects. Select a node to see where it leads.
Selected Publications
Journal and Conference Papers
AAAI 2026
TMLR 2025
IJCAI 2022
BCP 2017
Workshop Papers (workshops are cool)
ICLR 2026
Workshop
ICLR 2025
Workshop
NeurIPS 2024
Workshop
NeurIPS 2024
Workshop
The Turing Game
In NeurIPS Workshop on System-2 Reasoning at Scale, 2024
Selected Applied Work (not under NDAs)
Surrogate
Models
Machine-learning surrogates for rotary-kiln calcination
Details
At SCCH I work on machine-learning surrogates for calcination processes of limestone and magnesium carbonate in rotary kilns. The challenge is to approximate expensive physical simulations (CFD-based) with neural operator-based approaches. This simulation work is carried out within the PRIM-ROCK project.
Mechanistic
Interpretability
Mechanistic interpretability of activation regions
Details
I work on questions around the semanticity of activation regions in LLMs and the geometry of CoT. The common theme is whether the information contained in the activation space can be used to mechanistically interpret model behavior.
Experience & Education
Employment
SCCH
Software Competence Center Hagenberg
- Jul 2026 - present: Senior Researcher
- Jan 2024 - Jun 2026: Researcher & Senior Data Scientist
- Oct 2019 - Dec 2023: Researcher & Data Scientist
Inria
Research Intern at Inria
Education
PhD
PhD in Artificial Intelligence
On Tessellations of ReLU Neural Networks
Study of tessellations and geometric structures induced by ReLU neural networks, with emphasis on how input-space regions map through activation patterns.
MSc
MSc in Applied Mathematics
Estimating Extreme Quantiles with the Fisher Approximation of the Tail
BSc
BSc in Mathematical Physics
Geometric features of Vessiot-Guldberg Lie algebras of conformal and Killing vector fields on \(\mathbb{R}^2\)
Further study
Stats
Post-graduate MSc in Statistics
Bocconi University · Sep 2018 - Jul 2019
Erasmus
Erasmus study period
Université Grenoble Alpes · Sep 2017 - Jul 2018