Upcoming
MSc, Universidad de la República, Uruguay
Faculty of Engineering (machine learning / applied mathematics).
Andrés Vidal
Computer Scientist & Statistician
Uruguayan computer scientist and statistician working to bridge the gap between statistical machine-learning research and fast, reliable software. Peer-reviewed author in distributed generative models, and author of ppforest2, a high-performance C++/R implementation of Projection Pursuit Random Forests. 6+ years building production software for United States clients.
Education
2026
BSc in Statistics (Technology profile), Universidad de la República, Uruguay
Statistical learning, multivariate analysis, and mathematical modelling. Thesis: ppforest2: entrenamiento de bosques aleatorios basados en proyecciones. Advisor: Natalia da Silva.
2022
Computer Science & Engineering (Ingeniería en Computación), Universidad de la República, Uruguay
Thesis: Aumentación de conjuntos de datos utilizando redes neuronales generativas profundas distribuidas. Advisor: S. Nesmachnow.
2015
Technical Diploma, IFRS Campus Canoas (Brazil)
Originally Técnico em Informática, with emphasis on systems analysis & development; the program was later renamed Técnico em Análise e Desenvolvimento de Sistemas.
Research
Theses
2026
ppforest2: entrenamiento de bosques aleatorios basados en proyecciones
2022
Aumentación de conjuntos de datos utilizando redes neuronales generativas profundas distribuidas: exploración del uso de algoritmos coevolutivos multiobjetivo en busca de mejoras en la diversidad de las muestras generadas
Peer-reviewed publications · Co-authored
2023
Parallel-Distributed Implementation of the Lipizzaner Framework for Multiobjective Coevolutionary Training of Generative Adversarial Networks
2023
Multiobjective coevolutionary training of Generative Adversarial Networks
Experience
Since 2020
Staff Software Engineer, WyeWorks
- Full-stack development of production web apps for US clients in TypeScript (React, Next.js, NestJS), across ed-tech, e-commerce/ticketing, and healthcare.
- Prisma (virtual school): real-time collaborative learning tools, including a collaborative slideshow editor with embedded video and a Notion-like block editor, built with React and CRDTs.
- Led design of a schema-driven form-rendering framework (React + Zod) to replace a legacy enterprise forms system.
- Designed and ran WyeWorks' internal onboarding program for two years.
Staff Software Engineer since 2024 · Senior Software Engineer 2023–2024 · Software Engineer 2020–2023
Since 2013
Research Assistant, IFRS Campus Canoas
Held Scientific Initiation research scholarships (CNPq, IFRS) on interdisciplinary projects that applied software to the humanities and education: Brazilian literature in translation (which grew into the Richard Burton platform) and educational robotics. Also taught occasional short courses (web technologies 2020; Elixir/Phoenix 2023).
Projects
Statistical package
ppforest2: Projection Pursuit Random Forests
A fast, memory-efficient C++ core with R and CLI interfaces, and a modern successor to the R
PPforest package. Oblique splits, multi-threaded (OpenMP) training, tidymodels integration, and reproducible cross-platform golden tests. On CRAN. (Statistics thesis project.)Web application
Richard & Isabel Burton Platform
A full-stack platform (React + Elixir/Phoenix) cataloguing English translations of Brazilian literature. Grown from a Java (JSF/JPA) technical-degree project into an INPI-registered platform, now an ongoing volunteer research collaboration with IFRS Canoas.
Skills
Programming
C++, R, TypeScript, Elixir, Python
Frameworks / tools
React, Next.js, NestJS, Zod, PostgreSQL · tidymodels, Phoenix · Git, CMake, OpenMP, CI/CD
Areas
Statistical & machine learning · high-performance / parallel computing · research software engineering · full-stack web
Languages
Spanish (native) · Portuguese (bilingual) · English (Cambridge FCE, C1)