I am a Junior Researcher at the World Bank in the ID4D team and Lecturer in the Department of Economics at PUCP (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 . Here are some highlights of my experience. Please refer to my CV for more details.

Current Projects about CI & ML

Books

Inference on Causal and Structural Parameters using ML and AI Used in the course 13.28 at MIT [Python] [Julia] Machine Learning and Causal Inference Used in the course MGTECON-634 at Standford [Python]

Open Source

Python Projects

- AI‑trained virtual assistant skilled in identifying potential obstetric and gynecological violence‑ Media . DigitalPillarA AI tool integrated with GPT4 engine to classify Project Appraisal Documents from the World Bank into six pillars llm4tesis - AI tool integrated with GPT4 engine to create research questions from the thesis repository in the Department of Economics PUCP. csdid - Contains tools for computing average treatment effect parameters in a Difference‑in‑Differences including Double Robust Estimation. osrm.py - Python package to calculate driving distances for free using OSRM engine sythdid.py - Python implementation of Synthetic difference in differences method based on Athey et al. (2021) CMLViz.py - Python version of Stata Visual Library from DIME Analytics

Julia Packages

HDMjl - Julia Package of methods for estimation in high-dimensional models based on Chernozhukov et al. (2016) Sensemark.jl - Julia package for sensitivity analysis tools based on Cinelli et al. (2020) synthdid.jl - Julia implementation of Synthetic difference in differences method based on Athey et al. (2021)

R packages

OSRMAreas - R package to calculate driving distances for free using OSRM engine

Working Papers

High Dimensional Metrics in Julia Alexander Quispe , Victor Chernozhukov, Christian Hansen, Martin Spindler; 2022 [Paper] Fertility and Education Patterns Across Different Phases of Development Alexander Quispe ; 2020 [Paper] Estimating Heterogeneous Effects of Cash Bonuses in Retaining Teachers in Remote Peru Alexander Quispe , Sibei Zhang, Richard Tang; 2022 [Paper] The Growth of Low-Skill Service Jobs and the Polarizationof the US Labor Market-Extension Alexander Quispe ; 2019 [Paper]

Teaching

Graduate Course, Laboratory of Artificial Intelligence and Computational Methods in Social Sciences, PUCP, 2021 [GitHub Repository] [Students] Python Bootcamp Course, The Code Blinders, 2021 [GitHub Repository]

Research Team

Current RAs Rodrigo Grijalba , Jhon Flores Alumni Valeria Albarracin , Franco Cáceres , Sandra Martinez(Columbia) , Roberto Mendoza(Predoc-Princeton) , Anzoni Quispe(Predoc-Princeton) , Yosepth Ayala(RA-Columbia) , Elibeth Cirilo(Univerisity of Warwick) , Jesus Soto(Data Scienctist Interbank)