Summary
Oscar Gutiérrez is a computational chemist and scientific software developer with 11 years of experience applying machine learning and AI to chemical reactivity and DFT workflows. Based in Mexico City, he builds Python-based open-source tools (using NumPy, pandas, scikit-learn, TensorFlow, and PyTorch) to automate simulations and extract mechanistic insight from complex datasets. His PhD and postdoctoral work blend experimental catalyst development with computational modeling, giving him rare hands-on perspective across synthesis, electrochemistry, and in silico prediction. As Coordinador de la Red de Diplomacia Científica and a leader in the Global Young Academy and Academia Joven de México, he pairs technical delivery with advocacy for Open Science and research assessment reform. He is particularly focused on using AI to democratize access to chemical knowledge and streamline how science is practiced.
11 years of coding experience
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at Centro de Investigación y de Estudios Avanzados del IPN
Licenciatura en Química Industrial , Chemistry, Licenciatura en Química Industrial , Chemistry at Universidad Autónoma de Baja California
Spanish, French, English, Japanese, Russian, German