Multidisciplinary scientist
Main skills
I am a multidisciplinary scientist and developer. I have a M.Sc. in Engineering Physics (Técnico, Portugal) and a Ph.D. in Physics (UFPE, Brazil). After the Ph.D., I completed three postdocs (UFPE; Gulbenkian Science; University of Bern). My research career started in physics, and I have since worked on different subjects, with a focus on biological problems.
My background in physics and research experience gives me the flexibility to learn and approach different problems. It also provides me with a solid mathematical and statistics background. Science and academics allowed me to work in a collaborative and international environment and develop my scientific writing and communication skills. From a technical side, my career has had a robust modeling and simulation component, reinforcing my development skills and ability to write efficient code. I have programmed in various languages, particularly Python, Rust, and C++. I have frequently used Python data analysis and visualization libraries, such as NumPy, SciPy, pandas, Matplotlib, and sklearn.
Besides modeling, I analyzed experimental biological data, especially microbial fitness data, during my last two postdocs. These experimental data were sourced from collaborators or data available from different groups. My function was to characterize various statistics from those data and extract as much information as possible with the ultimate goal of predicting microbial fitness in different environments or situations. I worked especially with prediction of antibiotic resistance in different environments. To achieve this, I applied a combination of approaches, especially examining correlations within the data or fitting biological models to generalize the information contained in the data.
Professional experience
Modeled biological systems; analyzed experimental data; supervised junior researchers; developed computational tools for modeling.
Modeled biological systems; analyzed experimental data; supervised junior researchers; developed computational tools for modeling.
Modeled biological systems; developed computational tools for modeling; taught physics courses to engineering students.
Developed a CUDA C++ code for high-energy physics simulations.
Maintained a Java application to access remote controlled scientific experiments.
Education
Peer-reviewed publications (17)
Other publications (3)
Conference participations and seminars (10)
Congress of the European Society for Evolutionary Biology
Prague, Czech Republic
Talk: Dynamic eco-evolutionary fitness landscapes display complex trajectories and sustained diversity
Bern, Switzerland
Poster: Dynamic eco-evolutionary fitness landscapes display complex evolutionary trajectories and sustained diversity
PREPARE meeting
Gulbenkian Science, Portugal
Talk: Modelling fitness landscapes across environments
Gulbenkian Science and Institut Curie, Portugal
Poster: Modeling fitness landscapes across environments
Postdoc Seminar
Gulbenkian Science, Portugal
Talk: Fitness costs of antimicrobial resistance in E. coli
From Molecular Basis to Predictability and Control of Evolution
Nordita, Stockholm, Sweden
Participation
IX Brazilian Meeting on Simulational Physics
International Institute of Physics, Natal, Brazil
Poster: Evolution of multicellularity: a mechanistic model
Sociedade Brasileira de Física, Natal, Brazil
Poster: Tradeoffs and the evolution of complexity
Models in Population Dynamics and Ecology 15
Universidade Federal Fluminense, Nitéroi, Brazil
Poster: Predictability in populations evolving under imitation
Peniche, Portugal
Talk: Study of compact U(1) flux tubes in 3+1 dimensions in lattice gauge theory using GPU's
Student supervisions (2)
The combination of a Rough Mt. Fuji fitness landscape and a consumer resource model leads to more coexisting genotypes than resources available (Msc project and thesis)
University of Bern, Switzerland
Jérôme Stäheli (supervisor: Claudia Bank, co-supervisor: André Amado)
Avaliação da qualidade de um modelo de fitness landscapes em múltiplos ambientes (BSc project and thesis)
Universidade Nova de Lisboa, Portugal
Inês Borges (supervisor: André Amado, co-supervisor: Claudia Bank)
Peer review for scientific journals
Evolution
Evolutionary Applications
Journal of Molecular Evolution
Journal of Physics A: Mathematical and Theoretical
PLOS ONE
Proceeding of the Royal Society B
Scientific Reports
Schools and other courses (5)
Ready for BioData Management, BioData.pt
Gulbenkian Science, Portugal
Física Biológica (10 hours)
Federal University of Pernambuco, Brazil
Contour Dynamics and Integrable Systems (10 hours)
Federal University of Pernambuco, Brazil
Escola de Astrofísica e Gravitação
Instituto Superior Técnico, Portugal
Summer School on Particle Physics
The Abdus Salam International Centre for Theoretical Physics (ICTP), Italy
Online courses (5)
SQL for Data Science
Coursera/University of California, Davis
Django 4 and Python Full-Stack Developer Masterclass
Udemy
Research Integrity: Concise (core course)
Epigeum Online Course System, Oxford University Press
Programming Languages
Coursera/University of Washington
Heterogeneous Parallel Programming
Coursera/University of Illinois at Urbana-Champaign
Contact me!