Statistics · Data Science · Applied Mathematics
Estadística · Ciencia de Datos · Matemática Aplicada
Biviana Marcela
Suárez Sierra
Assistant Professor in the Department of Mathematics at Universidad de los Andes, Bogotá. My work connects statistical inference, time series, changepoint detection, Bayesian methods, educational data science and computational approaches to interdisciplinary problems. Profesora asistente del Departamento de Matemáticas de la Universidad de los Andes, Bogotá. Mi trabajo conecta inferencia estadística, series de tiempo, detección de puntos de cambio, métodos bayesianos, ciencia de datos educativa y herramientas computacionales para problemas interdisciplinarios.
2026Computational Statistics articleArtículo en Computational Statistics
CCIS 2824R Day 2025 proceedings editorEditora de las memorias R Day 2025
R / PythonReproducible statistical computingComputación estadística reproducible
InterdisciplinaryEnvironment, education & digital humanitiesAmbiente, educación y humanidades digitales
ProfilePerfil
Research interestsIntereses de investigación
Time series & changepointsSeries de tiempo y puntos de cambio
Statistical computingComputación estadística
Interdisciplinary data scienceCiencia de datos interdisciplinaria
Research output
PublicationsPublicaciones
Journal
Journal articlesArtículos en revistas
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Baumer, B. S. & Suárez Sierra, B. M. (2026).tidychangepoint: a unified framework for analyzing changepoint detection in univariate time series.Computational Statistics, 41(3).
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Suárez-Sierra, B. M. (2025).Factors Associated with Unit-Specific Failure in a University-Level Statistics Course.arXiv preprint, arXiv:2510.20100.
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Suárez-Sierra, B. M., Gómez-Montoya, K. M. & Taimal, C. A. (2025).Pollutants exceedances modeling using non-homogeneous Poisson processes: a case study for Medellín and Bogotá, 2018–2020.Air Quality, Atmosphere & Health, 18, 2385–2404.
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Suárez-Sierra, B. M., Coen, A. & Taimal, C. A. (2023).Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds.Journal of the Korean Statistical Society, 52(4), 982–1024.
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Suárez-Sierra, B. M., Rodrigues, E. R. & Tzintzun, G. (2021).An application of a non-homogeneous Poisson model to study PM2.5 exceedances in Mexico City and Bogotá.Journal of Applied Statistics, 49(9), 2430–2445.
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Suárez-Sierra, B. M., Rodrigues, E. R. & Tzintzun, G. (2019).Rate of ozone and PM10 exceedances: A case study comparing data from Mexico City and Bogotá.Communications in Statistics: Case Studies, Data Analysis and Applications, 5(2), 153–165.
Edited volume
Books and edited proceedingsLibros y memorias editadas
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Suárez, B. M., Conto, R., Hernández, F., Usuga, O., Patiño, C. E. & Quiroz, C. (Eds.). (2026).National Meeting of R Users: 3rd R Day Colombia, Medellín, Colombia, November 14, 2025, Proceedings.Communications in Computer and Information Science, vol. 2824. Springer, Cham.
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Tabares, M., Vallejo, P., Suarez, B., Suarez, M., Ruiz, O. & Aguilar, J. (Eds.). (2023).Advances in Computing: 17th Colombian Conference on Computing, CCC 2023.Springer Nature.
Proceedings
Conference proceedings chaptersCapítulos en memorias de congresos
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Suárez-Sierra, B. M., Coen, A. & Taimal, C. A. (2026).Change-Point Detection for Time Series Using the GA-Coen Algorithm: An Implementation in the Tidychange-Point Library in R.In National Meeting of R Users. R Day 2025, CCIS 2824, pp. 115–138. Springer, Cham.
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Diaz Vargas, J. E. & Suárez-Sierra, B. M. (2026).Stochastic Modeling of Exchange Rate Volatility with R: MCMC Simulation.In National Meeting of R Users. R Day 2025, CCIS 2824, pp. 271–302. Springer, Cham.
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Castaño, C. Q. & Suárez-Sierra, B. M. (2026).Multiple Change Detection in Time Series with Inductive Conformal Martingales: A Reproducible Implementation in R.In National Meeting of R Users. R Day 2025, CCIS 2824, pp. 303–318. Springer, Cham.
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Taimal, C. A., Suárez-Sierra, B. M. & Rivera, J. C. (2024).An exploration of genetic algorithms operators for the detection of multiple change-points of exceedances using non-homogeneous Poisson processes and Bayesian methods.In Advances in Computing. CCC 2023, CCIS 1924. Springer, Cham.
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Barajas-Oviedo, S., Suárez-Sierra, B. M. & Ramírez-Ramírez, L. L. (2024).Change point detection for time dependent counts using extended MDL and genetic algorithms.In Advances in Computing. CCC 2023. Springer, Cham.
Conference output
Other conference outputsOtros productos de congresos
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Baumer, B. & Suárez Sierra, B. M. (2024).tidychangepoint: A unified framework for analyzing changepoint detection in univariate time series.Joint Statistical Meetings (JSM), Portland, OR.
CommunityComunidad
Academic serviceServicio académico
R Day Colombia 2025 Proceedings
View proceedingsVer memoriasR Day Colombia 2025
Event committeesComités del eventoJournal of Applied Statistics
Academic eventsEventos académicos
Talks, workshops & conferencesPonencias, talleres y congresos
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PyCon Colombia 2026 — NLP in Practice: From Corpus Linguistics to RAG with Python
Official talk pagePágina oficial de la charla -
35th International Symposium of Statistics35.º Simposio Internacional de Estadística
Event websiteSitio del evento -
XVI CLATSE — Congreso Latinoamericano de Sociedades de Estadística
Event websiteSitio del evento -
R Day Colombia 2025
View presentationVer presentación
EducationEducación
TeachingDocencia
Inferencia Estadística
Digital course bookLibro digital · Project guideGuía del proyecto · RubricRúbrica
Estadística General
MentoringFormación
Master's thesis supervisionDirección de tesis de maestría
- Cristhian Quiroz — EAFIT University (2026). Change-point Detection with Inductive Conformal Martingales Implementing Nonconformity Measures Based on Robust Statistics. Master's thesis in Applied Mathematics.
- Karen Melissa Gómez — EAFIT University (2026). Science in the Colombian Public Sphere: A Digital Humanities and NLP Analysis of Opinion Columns (2018–2020). Master's thesis in Data Science and Analytics.
- EAFIT University (2025). Implementation of LSTM recurrent neural networks for forecasting PM2.5 particulate matter in the Aburrá Valley. Master's thesis in Data Science and Analytics.
- EAFIT University (2023). Predictive analysis of default risk in microcredit: A machine learning approach in the financial sector. Master's thesis in Data Science and Analytics.
- EAFIT University (2023). Review of Bayesian statistical techniques for entity matching in large data sets. Master's thesis in Data Science and Analytics.
- EAFIT University (2023). Modeling threshold exceedances during dry and wet periods in Colombia using non-homogeneous Poisson processes. Master's thesis in Data Science and Analytics.
- EAFIT University (2022). Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds. Master's thesis in Applied Mathematics.
- EAFIT University (2022). Prediction of employee turnover using automatic learning models. Master's thesis in Data Science and Analytics.
- Sergio Arboleda University (2021). Study of the correlation of air pollutants in Bogotá. Master's thesis in Applied Mathematics.
- Sergio Arboleda University (2021). Detection of change points in time series with a genetic algorithm for modeling exceedances of air pollutants in Bogotá. Master's thesis in Applied Mathematics.
Beyond the classroomMás allá del aula
Outreach & conversations with scienceDivulgación y conversaciones con la ciencia
Central Limit Theorem motivation workshopTaller de motivación del Teorema Central del Límite
View presentationVer presentaciónCiencia en voz alta, pero intermitente
View presentationVer presentaciónCírculos Matemáticos
Workshop guideGuía del taller · GalleryGaleríaAda Lovelace Day — Medellín
Event informationInformación del evento · GalleryGaleríaGet in touchContacto
ContactContacto
Academic affiliationAfiliación académica
Departamento de Matemáticas
Universidad de los Andes
Bogotá, Colombia