Graduate and Undergraduate Students

Current

• Cristian Pulido (2023-present),  Uncertainty-Informed Framework for Enhancing Decision-Making in Emergency Response Management Systems, Doctorate in Systems Engineering. Co-advised with Francisco Gómez.

• Daniel Garzón (2026-present),  Robust kernel-based multivariate regression models for surface modeling, Doctorate in Statistics.

Current

• Juan Sebastián Hernández (2024-present),  Comparison of Methodologies for Spatio-temporal Prediction: Kriging versus Random-Effects Models. MS in Statistics, UNAL.

• Jorge Vallejo Morillo (2024-present),  Application of Optimal Sampling Techniques and Experimental Design in the Modeling of Pyroclastic Flow Hazards from the Chiles and Cerro Negro Volcanoes. MS in Applied Statistics, U. Nariño.

• Camila Alejandra Pinzón (2025-present),  Tensor-based Time Series Models to Analyze Multi-Layer Dynamic Networks. MS in Statistics, UNAL.

• Carlos Mario Castaño (2025-present),  Assessing the Impact of Temporal Modeling on Spatial Transferability for Wind Power Prediction under Varying Data Availability Conditions. MS in Statistics, UNAL.

• Sebastián Huepo (2025-present),  Identification of Total Causal Effects: A Comparative Analysis between Linear Models under Partial Homoscedasticity and Nonparametric Methods Based on Total Derivatives. MS in Statistics, UNAL.

• Sergio Benítez Quiroga (2025-present),  Integration of Statistical Learning and Optimization for Decision Making Under Uncertainty: from a Predict-Then-Optimize (PTO) to and End-to-End (E2E) Approach. MS in Statistics, UNAL. Co-advised with Juan Carlos Galvis.

• Christian Trilleras Motta (2025-present),  Modeling and Estimation of Latent Counts from Observed Totals: A Methodological Comparison Based on Modern Statistical Approaches. MS in Statistics, UNAL.

• Martha Ramírez Esparza (2026-present),  Discrete-Choice Modeling and Modal Choice in Bogotá (tentative). MS in Statistics, UNAL.

• Andrés Rincón Guerrero (2026-present),  Statistical Estimation of Traffic Volumes and Congestion Costs on Critical Urban Corridors Integrating Network Topology and Collaborative Navigation (Crowdsourcing) (tentative). MS in Statistics, UNAL.

• Diego González Larrote (2026-present),  Probabilistic Forecasting of the Electricity Spot Price in Colombia. MS in Economics, UNAL.

• Felipe Lizarazo Bonilla (2026-present),  Quasi-Experimental Designs to Assess Responses to Nodges in High School Graduates (tentative). MS in Statistics, UNAL. Co-advised with Hernando Bayona.

• Hernán Supelano (2026-present),  Copula Modeling to Assess Joint Uncertainty in Conformal Prediction (tentative). MS in Statistics, UNAL.

Former

• Henry Daza-Chaves (2021-2023),  Value-Added Statistical Models: An Application to Primary and Secondary Education in Colombia. MS in Applied Statistics, U. Nariño.

• Juan Sebastián Oviedo Mozo (2022-2024),  Estimation of the Multidimensional Poverty Index (MPI) in Bogotá D.C. and Nearby Cities Using Satellite Imagery. MS in Statistics, UNAL.

• Marlijar Hurtado Moreno (2022-2025),  Evaluation of the Predictive Ability of Support Vector Regression in Multivariate Time Series. MS in Statistics, UNAL.

• Sandra Cerón Bermúdez (2023-2025),  Characteristics Associated with the Classification of the Quality of Marine and Coastal Surface Water in the Colombian Pacific Ocean and Caribbean Sea. MS in Applied Statistics, U. Nariño.

• Julio Riascos & Michael Morales (2024-2025),  Financial Robotics Applied to Investment Portfolio Optimization. MS in Applied Statistics, U. Nariño.

• Harold Villota & Ruth Martínez (2023-2025),  Construction and Validation of a Model for the Relationship Between Cadmium and Soil Physicochemical Properties and Its Association with Cocoa Beans in Soils of Tumaco, Nariño, Colombia. MS in Applied Statistics, U. Nariño.

• Pedro Leal Mesa (2024-2026),  Probabilistic Forecasting Based on Conformal Prediction for Time Series: A Comparison with Bootstrapping and DeepAR. MS in Statistics, UNAL.

• Daniel Garzón (2025-2026),  Review of the Theil–Sen Linear Regression Estimator and Some of Its Potential Extensions and Applications. MS in Statistics, UNAL.

• Christian Pérez (2024-2026),  Dynamics of Paddy Rice Prices in Colombia: Forecasting Using Univariate, Multivariate, and Markov Chain Models. MS in Statistics, UNAL. Co-advised with Liliana Blanco.

• Arturo Melo & Brayan Mora (2023-2026),  Identifying the Dynamics of Knowledge Transfer from Universities to Colombian Regions. MS in Applied Statistics, U. Nariño.

• Juan Camilo López (2024-2026),  Cybersecurity Monitoring: An ML Model for the Supervised Classification of Obfuscated Malware . MS in Applied Statistics, U. Nariño.

1. Andreina Alamo (2022) - Statistical Models vs. Machine Learning Models: Characterization, Alerts, and Recommendations for Use. Presented in the 43rd ISF in Virginia, USA.

2. Juan Pablo Montaño Díaz (2024) - An Implementation of the Chatterjee Association Coefficient and the Azadkia–Chatterjee Conditional Dependence Coefficient for Time Series Analysis. Awarded the best undergraduate thesis in Statistics in 2025. 

3. Nicolle Quintero (2024) - Review of Regression Models for Response Variables in the Interval [0,1]: A Case Study of Wind Power Forecasting. Published in Revista Colombiana de Estadística in 2026. 

4. Dana Reyes (2025) - Detection of Anomalies in Web Intrusions Through Time Series Analysis. 

5. Juan Esteban Ortiz (2025) - Comparative Evaluation of Risk Models for Estimating Aggregate Loss in an Automobile Insurance Portfolio: A Case Study Using Data from Brazil. 

6. Andrés Peña (2026) - Estimation of Multiple Linear Regression Models Under Continuous and Ordinal Randomized Response Mechanisms in Stratified Sampling Designs. 

7. Juan Camilo Ochoa (2026) - Modeling the Conditional Distribution of the Monthly Stipend Offered in Calls for Applications for Student Assistant Positions at Universidad Nacional de Colombia, Bogotá Campus, Using Structured and Unstructured Data.

8. Camilo Gómez Forero (2026) - Empirical Comparison of Spatio–Temporal Prediction Models Under Different Validation Schemes. Presented in the 35th ISS in Bogotá, Colombia.

9. David Márquez (2026) - Tensor models and their use to improve the efficiency of traditional survey schemes (tentative).