STAIR

Andres is an undergraduate student at Stanford University, currently conducting research alongside fellow undergrad Dhruv Pai under the guidance of PhD student Rylan Schaeffer. His research interests include mechanistic interpretability, time series forecasting, and using inter-disciplinary interpretations of models to improve their performance. Previously, Andrés was a research intern at NASA, Harvard, MIT, and Two Sigma. In his spare time, Andrés enjoys traveling, dancing (especially salsa), and studying how technology can catalyze growth in developing countries.

Search for Andrés Carranza-Moreno's papers on the Research page