Ander Artola Velasco

Hi! I’m Ander, a PhD. student at the Max Planck Institute for Software Systems, under the supervision of Dr. Manuel Gomez Rodriguez and as part of the IMPRS-TRUST program. Previously, I obtained my masters in Physics at Heidelberg University under the supervision of Dr. Sarah Bosman. I graduated in 2023 from the Complutense University of Madrid in Mathematics and Theoretical Physics.

I'm currently seeking research internships in industry – focused on decision-making and strategic behavior in LLMs, inference, optimization, and uncertainty quantification. If my research interests align with your team’s goals, I’d be excited to connect!

Some of my (past) interests include:

Decision-making and strategic behavior in machine learning systems, including large language models
Bayesian modelling, inference and optimization
Game-theoretic statistics
Uncertainty quantification, explainability and support systems
Causality
(Differential geometry)
(Cosmology, dark matter, the intergalactic medium and reionisation)

news

Jan 30, 2026	We have a new preprint! In this paper we introduce test-time compute games, a game-theoretic framework for analyzing how LLM providers choose the amount of test-time compute deployed by their models. Building on this framework, we show that current LLM-as-a-service markets are socially inefficient, and we propose a forward-looking auction mechanism that is provably socially optimal.
Jan 30, 2026	Our LLM auditing paper was accepted at AISTATS’26!
Nov 15, 2025	I will give a spotlight talk at the PAIG workshop at EurIPS’25!
Oct 19, 2025	I gave a research talk at AICS (AI, Computing and Society) on our papers on LLM pricing and auditing!
Oct 17, 2025	We have recently released a new preprint! In the context of sequential decision-making, we develop a decision support system that uses a pre-trained AI agent to narrow down the set of actions a human can take to a subset, and then asks the human to take an action from this action set. Along the way, we also develop a best-arm identification algorithm for Lipschitz bandits suited to our problem. This work has done with an amazing team at MPI-SWS: Eleni Straitouri, Stratis Tsirtsis and Manuel Gomez Rodriguez.