Carlos Miguel Patiño
MSc in Artificial Intelligence @ University of Amsterdam
I’m a physicist turned machine learning engineer. I worked in particle physics at Universidad de los Andes and materials science at Purdue University during my undergrad. I’ve been working in industry for 6+ years in multiple areas related to machine learning such as NLP, recommender systems, and computer vision. My last position was as a Staff Machine Learning Engineer at Factored, and I’m currently pursuing a MSc in Artificial Intelligence at the University of Amsterdam.
I’m mainly interested in building AI systems that can learn from and collaborate with human experts and developing systems that can scale human expertise by merging research and software engineering. My current interest is leveraging test-time compute to improve current foundation models.
news
| Apr 1, 2025 | I’ll be in Singapore at ICLR 2025 presenting our paper Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification |
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| Feb 25, 2025 | We just published a reproducibility study of a paper about how LLM-based agents negotiate between each. The pre-print is already available on arXiv. Interesting read of you are into benchmarks that evaluate LLM capabilities applied to negotiation. |
| Sep 2, 2024 | I started my MSc in Artificial Intelligence at the University of Amsterdam in September 2024. |
| May 2, 2024 | Our paper Statistical Inference Under Constrained Selection Bias was accepted to ICML 2024! |