Data Scientist with a statistics background, specializing in survival analysis and applied ML. I build end-to-end tools from the statistical method to the deployed app people actually use.
- 📊 Statistician (BSc, UFRGS) and data scientist; I bring rigorous modeling to ML problems
- 🚀 Shipped a survival-analysis dashboard on real oncology data: SurvControl (live demo)
- 📦 Author of DepCens, an R package on CRAN for dependent-censoring survival models
- 🌱 Building in the open: applied ML projects beyond my day-to-day work
- 📫 LinkedIn · Porto Alegre, Brazil 🇧🇷
SurvControl · R / Shiny · 🔗 live demo Interactive control panel for survival analysis on real oncology data (FOSP/São Paulo). Lets users explore covariate effects with Kaplan-Meier, Cox, frailty, and dependent-censoring models, including a breast-vs-ovarian cancer case study. My undergraduate thesis.
DepCens · R · on CRAN · 📖 docs Dependent-censoring regression for multivariate survival data, based on frailty-model extensions with Weibull and piecewise-exponential marginals. Documented, tested, with a full package website.
CureDepCens · R Cure-rate dependent-censoring regression for long-term survival data — models populations where a fraction of subjects never experience the event, while accounting for dependent censoring.
