Unveiling Open Source Projects: Join the Más Allá del Código Showcase
Más Allá del Código is an open forum designed to spotlight final projects from our cohort. Attendees will witness diverse initiatives ranging from software package development and enhancement to outreach projects that connect with the community. This event presents a unique opportunity to explore the technical advancements behind each tool, alongside the scholarships, collaborations, and professional growth these initiatives have fostered.
Don’t miss the chance to be inspired by their projects, ask questions in real-time, and celebrate the development of our open-source community!
Below, you'll find biographies of the presenters and additional resources related to the event.
Speakers
Diana Garcia
Diana Garcia is a Computational Biologist at the Breast Oncology Program, Dana Farber Cancer Institute, where she investigates genomic alterations linked to therapy resistance in metastatic breast cancer. With a Ph.D. in Biomedical Sciences and a master's in Computer Science, she has significant experience in software development in both academia and industry. Passionate about teaching programming, she has served as a professor at CETYS University in Tijuana and as an instructor at the Pilares Code School in CDMX. Diana is also an active member of R-Ladies Boston and the rOpenSci Champions program, with prior involvement in PyLadies CDMX and Women Who Code CDMX.
Erick Navarro
Erick Navarro holds a Bachelor’s degree in Biology from the National Autonomous University of Mexico and is a Ph.D. candidate in Bioinformatics at The University of British Columbia. He is currently a champion of the rOpenSci program.
Ana Carolina Moreno
Ana Carolina Moreno is a journalist specialized in data and artificial intelligence. With nearly 20 years of experience in Brazil and Spain, she has worked for institutions such as TV Globo, G1, Folha de S. Paulo, La Voz de Galicia, Jornal da Tarde, and Terra Magazine. She is the founder of the RLadies+ São Paulo chapter.
Soledad Andrea Araya Orrego
Soledad Andrea Araya Orrego is a political scientist focused on quantitative methods, data analysis, and reproducible data science applied to social research. She employs R for data processing, analysis, visualization, workflow automation, and developing open tools.
Maria Valentina Clavijo Mesa
A doctoral student at Politecnico di Milano, Maria Valentina Clavijo Mesa researches the resilience of critical infrastructure amid climate change. She is also a co-founder of the Medellín section of RLadies+.
Guadalupe Pascal
Guadalupe Pascal is a researcher focusing on data-driven optimization strategies for decision-making in businesses and social systems, considering regional contexts centered on the Global South. Her work emphasizes gender and intersectional perspectives and adheres to the principles of open science and epistemic justice.
Monika Avila Marquez
Monika Avila Marquez is an econometrician and statistician focusing on causal inference from observational data, particularly in environments with interference. She also applies machine learning techniques in panel data econometrics and works on selecting cross-random effects models for experimental data.
Resources
- votosCL package for managing electoral data in Chile.
- Peer review issue for the RAMEN package.
- Regional Association of DNA Methylome variability with the Exposome and geNome (RAMEN).
- Collaborative notes.
Join Us!
- Who: Everyone is welcome. No RSVP is needed; just connect or dial in during the event.
- When: Monday, 12 October 2026, 08:00 PDT (15:00 UTC)
- Check your timezone.
- Add to your calendar.
-
How:
No need to RSVP. Test your Zoom setup at https://zoom.us/test.
Join the meeting: Zoom Meeting Link
Meeting ID: 86115160074
Access code: 689296Find your local number to join by phone: Phone Numbers
R-bloggers.com provides daily email updates on R news and tutorials on learning R and more. If you're looking for R/data-science job opportunities, click here.
Want to share your content on R-bloggers? Click here if you have a blog, or here if you don't.
