Hello, I’m Pablo 👋!
🎓 I have a short but proficient career as a Theoretical Physicist. I am currently working as Quantum algorithm scientist at the amazing Xanadu.ai, developing quantum algorithms with applications to Chemistry.
🚀 My coolest article is the development of GradDFT, a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
🎯 My aim is to use my career to do the most good. One area where I expect to exist significant opportunities is positively shaping the development of Artificial Intelligence.
“Many experts believe that there is a realistic chance that humanity will develop machines more intelligent than ourselves during the 21st century. This could lead to large, rapid improvements in human welfare, but there are good reasons to think that it could also lead to disastrous outcomes. The problem of how one might design a highly intelligent machine to pursue realistic human goals safely is very poorly understood. If AI research continues to advance without enough work going into the research problem of controlling such machines, catastrophic accidents are much more likely to occur.”
🎉 I also enjoy the fields of economy and forecasting and strategizing.
📨 Do not doubt to reach out if I can help!
PhD in Quantum Algorithms, 2023
Complutense University of Madrid
MSc in Mathematical and Theoretical Physics, 2018
University of Oxford
BSc in Physics, 2017
University of Extremadura
Responsibilities include:

Cultivated meat is real animal protein grown from cells — no animal raised or slaughtered. But will it ever win a meaningful share of the meat aisle, and how soon? This is an open, fully-sourced model of exactly that question, built in three transparent steps — what it costs to grow, what shoppers will choose, and how adoption builds over time — with every assumption laid bare as a slider. A live interactive explorer lets you drag those sliders yourself and watch price, market share, and the adoption curve respond in real time.

An open techno-economic model of the least-cost solar + wind + battery + firming mix to run an always-on, off-grid datacenter on mostly-renewable power across the US and Europe (2025–2040) — when clean beats gas, and where in Europe zero-carbon power is cheapest (incl. geothermal, hydro and pumped storage).