Bayesian additive regression trees for probabilistic programming
Quiroga, M., Garay, P. G., Alonso, J. M., Loyola, J. M., & Martin, O. A. (2022). Bayesian additive regression trees for probabilistic programming. arXiv preprint arXiv:2206.03619.
CV
To download my curriculum vitae in english you can click here.
To download my curriculum vitae in spanish you can click here.
Work experience
- PhD Fellow, CONICET, Argentina (2017 – 2023)
- Main research topic was the application of NLP models for early risk detection.
- Defined a pipeline to acquire and pre-process data, classify input, and publish results.
- Designed and implemented a mock server to provide dataset samples and receive predictions, replicating the behavior from the eRisk laboratory. Link to repository
- Contributor experience team member, Scikit-learn (Dic 2021 – Present)
- Fixed issues related to documentation and added a new SVC classifier feature.
- Reviewed pull requests.
- Organized and ran a Scikit-Learn Sprint during the ScyPy Latin America 2022.
- Teaching Assistant, National University of San Luis, Argentina (2019 – 2023)
- Student Developer, NumFOCUS, Google Summer of Code (Jun 2019 – Aug 2019)
- Provided the Bayesian Additive Regression Trees base implementation in PyMC.
- Wrote tests and documentation for the new model.
- Software Engineer, Mercado Libre, Argentina (2016 – 2017)
- Fraud prevention team member responsible for building machine learning models to detect fraudulent transactions in Mercado Libre’s platform.
- In charge of data cleaning, feature selection, model training, evaluation and deployment in production.
Education
- Ph.D in Computer Science, National University of San Luis, 2023
- B.S. in Computer Science, National University of San Luis, 2017
Skills
- Python
- Scikit-learn
- Numpy
- Pandas
- Pytorch
- FastAPI
- PyMC
- SQL
- Java
- C
- Bash
Publications
UNSL at eRisk 2022: Decision policies with history for early classification
Loyola, J. M., Thompson, H., Burdisso, S. & Errecalde, M. (2022). UNSL at eRisk 2022: Decision policies with history for early classification. Working Notes of CLEF, 947-960.
Solubility of meloxicam in ethylene glycol-water and propylene glycol-ethanol mixtures: Experimental determination and thermodynamic analysis
Castro, G. T., Loyola, J. M., Gasull, E. I., & Almandoz, M. C. (2022). Solubility of meloxicam in ethylene glycol-water and propylene glycol-ethanol mixtures: Experimental determination and thermodynamic analysis. Journal of Molecular Liquids, 354, 118863.
UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk Detection
Loyola, J. M., Burdisso, S., Thompson, H., Cagnina, L., & Errecalde, M. (2021). UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk Detection. Working Notes of CLEF, 21-24.
Classification of RNA backbone conformation into rotamers using 13C′ chemical shifts How far we can go?
Icazatti, A. A., Loyola, J. M., Szleifer, I., Vila, J. A., & Martin, O. A. (2019). Classification of RNA backbone conformation into rotamers using 13C′ chemical shifts: exploring how far we can go. PeerJ 7:e7904 https://doi.org/10.7717/peerj.7904
Learning When to Classify for Early Text Classification
Loyola, J. M., Errecalde, M. L., Escalante, H. J., & y Gomez, M. M. (2017, October). Learning When to Classify for Early Text Classification. In Argentine Congress of Computer Science (pp. 24-34). Springer, Cham.
Talks
Modelos para la detección anticipada de riesgos en flujos de datos
Talk at Jornadas sobre NLP - Algoritmos que 'entienden' el lenguaje: Aspectos computacionales y aplicaciones sociales, Lujan, Buenos Aires, Argentina
Introducción al Aprendizaje Profundo
Talk at Taller Argentino de Computación Científica, Universidad Nacional de San Luis, San Luis, Argentina
Deep Learning
Talk at I Jornadas de Informática, Departamento Informática, Universidad Nacional de San Luis, San Luis, Argentina
Introducción a la computación científica con Python
Talk at Instituto de Matemática Aplicada San Luis, San Luis, Argentina
Learning When to Classify for Early Text Classification
Workshop at XVIII Workshop de Agentes y Sistemas Inteligentes, XXII Congreso Argentino de Ciencias de la Computación, Universidad Nacional de La Plata, La Plata, Argentina
Introducción al Aprendizaje Automático
Talk at Instituto de Matemática Aplicada San Luis, San Luis, Argentina