Artificial intelligence
and data science
Machine learning, data mining, statistical modeling and interpretability. Assessment of assumptions, model validation and analysis of results.
Teaching · Research
Professor at PUCP · Industrial Engineering
Artificial intelligence, data science and operations research for decision-making. Undergraduate and graduate teaching and thesis supervision.
PUCP · Lima, Peru
lsilva@pucp.edu.pe · Lima, Peru · ORCID 0000-0002-3395-3129
01 / Profile

Full-time Professor in the Department of Engineering at Pontificia Universidad Católica del Perú (PUCP), Industrial Engineering Section. Professional degree and master’s degree in Industrial Engineering from PUCP.
Academic work focused on undergraduate and graduate teaching, applied research and thesis supervision. Research interests in machine learning, statistical modeling, optimization and decision evaluation in industrial, organizational and public systems.
Doctoral research interests in artificial intelligence for decision-making under uncertainty, with an emphasis on machine learning, optimization and trustworthy systems. The agenda connects industrial and organizational problems with quantitative methods and reproducible evaluation.
More than fifteen years of experience leading ERP implementation projects, specializing in SAP Business One. Professional background in information technology consulting and systems integration for business management.
View the institutional PUCP profile02 / Research
Machine learning, data mining, statistical modeling and interpretability. Assessment of assumptions, model validation and analysis of results.
Operations research, simulation and systems analysis. Models for studying constraints, uncertainty and decision criteria in industrial and organizational settings.
Claim verification, data provenance and model limitations. Studies of evidence quality, reproducibility and collaboration between people and artificial intelligence systems.
03 / Teaching
Teaching at PUCP in analytics and artificial intelligence, data mining, project management and information technology. Supervision of Industrial Engineering projects and graduate thesis seminars, emphasizing problem formulation, research design and evaluation of results.
04 / Research
Springer · Book chapter
Application of machine learning techniques to debt recovery and the valuation of non-performing loan portfolios.
Springer · Book chapter
Assessment of resilience in urban logistics and freight transport through simulation of disruptive events.
05 / Projects
41 ongoing projects, including 19 submitted manuscripts. Studies in public data, artificial intelligence, mathematics, decision-making and education.
The research catalog presents each project’s objective, main findings and current scope. It also includes research lines on hold and an archive of previous work.
Explore research projectsUpdated September 29, 2026 · 68 documented projects
06 / Education
Ranked first among 30 graduates; weighted average of 18/20 in the graduation semester. Thesis unanimously approved with the distinction “Sobresaliente”.
Professional degree thesis unanimously approved with the distinction “Sobresaliente”.
MicroMasters program credential earned in 2022.
MicroMasters coursework completed. Capstone examination pending for the program credential.
PMP certification · Project Management Institute.
07 / Contact
Contact for research collaboration, doctoral opportunities, teaching and academic supervision in artificial intelligence, data science and operations research.
lsilva@pucp.edu.pe