Experience

My main responsibilities at Supersolid include:

• Use machine learning techniques to support the User Acquisition team in projecting campaign profitability allowing for earlier actions.
• Develop and maintain serverless APIs and tools to automate and simplify several processes.
• Build and maintain data pipelines to help develop our internal stack.
• Build and maintain internal R packages to promote reproducible analysis frameworks, reduce development time of APIs and tools, and enhance knowledge management.

In the frame of RENEB, we are developing Biodose Tools, an Open Source R Shiny application to help professionals and researchers on Biological Dosimetry to perform several computations and statistical analyses. We also aim to clarify and document the tests used and to propose those considered most appropriate.

Our end-goal is to replace the current software used by different laboratories and to standardise the used statistical methods. This will have a major impact in Laboratory Intercomparison tests for Quality Assurance.

My master’s thesis (with Álvaro Corral and Isabel Serra as my thesis supervisors) consists of developing statistical methods using bootstrap, permutation tests, and clustering to study the influence of sea surface temperature on tropical-cyclone intensity.

Additionally, I have created a unified hurricane occurrences dataset with finer temporal temperature tracking than those currently available.

My bachelor’s thesis (with Álvaro Corral as my thesis supervisor) consists of the study of real hurricanes occurrences using some simple statistical models. The main skills I developed are:

• Data extraction.
• Statistical programming.
• Statistical analysis.

Under the supervision of Alexander Roxin, I studied the macroscopic and microscopic description for networks of spiking neurons. The main skills I developed are:

• Mathematical analysis.
• Numerical simulations.