I am a PhD student working on uncertainty-aware AI for informed decision-making, with a focus on applications in climate and finance. I have several years of experience implementing and leading applied AI projects across banking, financial risk, and pharma, including work on statistical model governance and model risk (regulation). In parallel, I like to contribute to initiatives that expand AI literacy, education, and policy capacity in emerging markets.
Interests
- Foundational AI and learning theory
- Uncertainty quantification and probabilistic machine learning
- Model risk management, AI regulation and accountability
- AI for climate and environmental decision-making
- Quantitative finance and risk management
- Philosophy and history
Publications
J. M. Lara-Rangel, et al.. Exploring Pseudo-Token Approaches in Transformer Neural Processes (2025), AABI 2025.
J. M. Lara-Rangel, et al.. Learning to Forget with Hypernetworks (2024), AdvML-Frontiers @ NeurIPS 2024.
J. M. Lara-Rangel, et al.. On the Limits of Applying Graph Transformers for Brain Connectome Classification (2025), ICBINB @ ICLR 2025.
Education
University of Cambridge | Cambridge, UK
MPhil in Machine Learning and Machine Intelligence | 2023 – 2024
Benemérita Universidad Autónoma de Puebla | Puebla, Mexico
BSc in Actuarial Science | 2016 – 2020
