Help & Supportcareers@gravityer.com
quantitative biology | physics | data scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Princeton University
Data Scientist
June 27, 2026 – Present
Modeling
October 22, 2025 – October 22, 2025
Computational and theoretical modeling of papers and books.
View Projectictp-origins-phylogenetic-tutorial
February 19, 2025 – March 17, 2025
Tutorial given at the 2025 ICTP School on Origins of Life, Behavior and Cognition Scientific Presentations.
View ProjectPhilogeneticAnalysis
January 24, 2025 – February 18, 2025
Repository to study/test philogenetic analysis methods
View Projectaltricial_brain_vocal_learning
May 4, 2024 – June 20, 2025
altricial_brain_vocal_learning — GitHub repository
View Projectextracellular-potential-in-neurons
July 1, 2022 – July 1, 2022
Project developed by me and a coulegue in LASCON (VIII Latin American School on Computational Neuroscience) to measure the extracellular potential influence on neuron dependent of their morphologies
View Projectquantitative-biology-covid-analysis
July 1, 2022 – July 1, 2022
Project developed by me and colleagues during Training Program in Quantitative Biology and Ecology - Serrapilheira/ICTP-SAIFR
View Projectstatistical-mechanics
July 1, 2022 – July 1, 2022
Statistical Mechanics problems solved of a graduated course that I took in Mar-Jul 2020
View Projectnon-linear-dynamic-systems
July 1, 2022 – July 1, 2022
Dynamic Systems problem solving examples developed by me during a graduated curse in University of São Paulo
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and research-oriented, focusing on computational neuroscience, quantitative biology, and statistical modeling. This aligns well with roles requiring strong analytical skills and a scientific approach to data. The diversity of projects within these scientific domains suggests intellectual curiosity. However, the lack of experience outside of academic/research projects limits the assessment of broader cultural fit in a typical corporate environment. The target role 'Data Scientist' is broad, and the candidate's background leans heavily into scientific data analysis.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills such as collaboration, problem-solving approach, or communication style. The psychometric test score is 0, which provides no insight into work attitude, stress handling, or team collaboration. Therefore, operational fit cannot be adequately assessed from the provided data.