I am a Junior Researcher at the World Bank in the ID4D team and Lecturer in the Department of Economics at Pontificia Universidad Católica del Perú (PUCP). Currently, I collaborate with Professor Victor Chernozhukov on the creation of Econometric Packages and Tutorials about Causal Inference and Machine Learning (CI & ML).
I received my B.S. in Economics at PUCP and my M.S in Quantitative Economics at the University of Munich. During my second year, I visited the Laboratory for Innovation Science at Harvard (LISH). I worked as RA at Yale, the Max Planck Institute for Innovation and Competition (MPI) and MIT Sloan.
- Dive into Causal Machine Learning
- Inference on Causal and Structural Parameters using ML and AI with R, Python, Julia used in the course 14.38 at MIT.
- Machine Learning and Causal Inference using Python, used in the course MGTECON-634 at Stanford.
- HDMJL.jl - Julia Package of methods for estimation in high-dimensional models based on Chernozhukov et al. (2016)
- Sensemakr.jl - Julia package for sensitivity analysis tools based on Cinelli et al. (2020)