I am a recent PhD graduate from the Department of Statistics at the University of Wisconsin - Madison, “la Caixa” Fellow, advised by Professor Wei-Yin Loh. My focus is on trustworthy AI, and I am currently developing TRUST (Transparent, Robust and Ultra-Sparse Trees) - the most interpretable model tree algorithm ever created. Our results show that it often matches or exceeds the accuracy of leading black-box machine learning models like Random Forests, while remaining fully explainable. My goal is simple: to provide innovative and safe AI tools that allow users in high-stakes domains to stop choosing between accuracy and interpretability - and, in doing so, make a positive impact on society.

For a (literal) bird’s eye view of some of the places where I have worked, studied or given talks, check out this interactive map.

Research

Since 2022, my research has focused on trustworthy AI, first studying ensemble pruning as a way to improve both accuracy and interpretability of tree ensembles; then I developed my own model tree algorithm (TRUST), displaying excellent accuracy coupled with unparalleled interpretability. If you’d like to learn more, check out my preprint, presented at the 22nd Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025) and published in Springer Nature.

Prior work focused on quantitative finance, spanning both risk and portfolio management e.g. stop-loss rules.

Selected Publications

• TRUST: Transparent, Robust and Ultra-Sparse Trees
  Dorador, A. Pacific Rim International Conference on Artificial Intelligence (PRICAI), Lecture Notes in Artificial Intelligence, Springer Nature, 2026.
  preprint

• Theoretical and Empirical Advances in Forest Pruning
  Dorador, A. Conference on Parsimony and Learning, Proceedings of Machine Learning Research (PMLR) 280:615-651, 2025.
  preprint

• On the efficacy of stop-loss rules in the presence of overnight gaps
  Arratia, A. and Dorador, A. Quantitative Finance, 19:11, 1857-1873, 2019.
  paper

Work Experience

Pompeu Fabra University

Adjunct Professor (Mar 2026 - Aug 2026)

• Lead Lecturer, Mathematics III, B.S. Economics

Polytechnic University of Catalonia (BarcelonaTech)

Adjunct Professor (Feb 2026 - Aug 2026)

• Instructor, Introduction to Statistics, B.S. Artificial Intelligence

Whitebox Lab

Founder and Lead Researcher (Jul 2025 - Present)

• Full-stack development of the trust-free Python package, >11K downloads (Aug 2026)
• Production of research papers tied to the development of my TRUST algorithm
• Time-to-recovery prediction of malnourished children for the Mundo Orenda NGO

University of Wisconsin - Madison

Ph.D. Researcher, Machine Learning (Sep 2022 - Jun 2025)

• Doing research on tree-based methods with Professor Wei-Yin Loh, with focus on interpretability
• End-to-end development of my TRUST algorithm (Transparent, Robust and Ultra-Sparse Trees)
• Wrote a conference paper to appear in leading peer-reviewed machine learning journal [1]

Graduate Teaching Assistant (Sep 2021 - Jun 2025)

• Machine Learning and Data Science courses: CS 861 (graduate), ECE 761 (graduate), STAT 340, STAT 333, STAT 240
• Probability and Mathematical Statistics courses: STAT 610 (graduate), STAT 311

European Central Bank

Risk Analyst, Directorate Risk Management, RAN division (Aug 2018 - Aug 2019)

• Statistical modeling of price reasonability tolerance bands
• Automation of core financial risk control tasks

Trainee, Directorate Risk Management, RAN division (Aug 2017 - Jul 2018)

• Led an innovative Machine Learning application in the bond market
• Executed core financial risk control tasks

Deloitte

Intern, Transaction Advisory Services (Sep 2014 - Dec 2014)

• Forensic and M&A / due dilligence rotations

Education

University of Wisconsin - Madison

Ph.D. in Statistics (2019 - 2025)

• Dissertation on Trustworthy AI (TRUST, ensemble pruning [1])
• Research visit at the Institute for Mathematical Sciences, National University of Singapore (Summer 2024)

Polytechnic University of Catalonia (BarcelonaTech)

M.S. in Statistics & Operations Research (2015 - 2017)

• Thesis on quantitative financial risk management, deriving in a top peer-reviewed journal publication [2]

Pompeu Fabra University

B.S. in Business Economics and Bachelor of Laws (2008 - 2014)

• Honors double degree program, graduating 1st within the Business + Law cohort
• Carnegie Mellon University Exchange student in the depts. of Mathematics, Computer Science and Business (Spring Semester)
  • Carnegie Mellon Rowing Team (Tartan Crew)