CV
Access my scientific curriculum here (in Portuguese): Curriculum Lattes
Education
- PhD candidate (Cellular and Molecular Biology), Universidade Federal do Rio Grande do Sul (UFRGS), 2019 - current
- B.S. in Biomedicine, UFRGS, Brazil, 2018
Work experience
February 2015 - December 2018: Undergraduate Researcher
- Wet lab experience as an “Iniciação Científica” fellow (FAPERGS)
- I assisted PhD candidates alongside my undergraduate studies at UFRGS
- Duties included: Cell culture maintenance, experiment planning and organization, cell and cancer biology seminar presentation and discussions
- Location: LabSinal / UFRGS (Porto Alegre, Brazil)
- Advisor: Prof. Dr. Guido Lenz
January 2016 - February 2016: Undergraduate Researcher
- Short-term experience as a “Bolsas de Verão CNPEM” fellow (CNPEM)
- I was assigned to a scientific mini-project to be performed in two months, under supervision and evaluation by the institute’s researchers
- Duties included: PCR insertion cloning, protein purification and characterization using a prokaryote overexpression system
- Location: Laboratório Nacional de Biologia / CNPEM - Campinas, Brazil
- Advisor: Prof. Dr. Sandra Martha Gomes Dias
August 2013 - February 2015: Undergraduate Researcher
- Experience as a foreign student in the frame of the “Science without Borders” program (CAPES/CNPq)
- I was responsible for conducting cell culture experiments for IFAM researchers desiring to test a specific material, in accordance to ISO 10993-5 (biocompatibility of medical devices)
- Duties included: Cell culture maintenance, experiment planning and organization, collaboration with IFAM researchers for addressing their scientific questions
- Location: Fraunhofer Institute IFAM, Bremen, Germany
- Advisor: Prof. Dr. Ingo Grunwald
Skills
- Programming and Scientific Computing
- Development of scientific software for researchers (see portfolio)
- Computational simulation of biological systems
- UI development and deployment for scientific applications (e.g. with PyQt)
- Toolkit: Linux, Git & GitHub, Command line applications and scripting
- Preferred programming languages: Python, R
- Biological Image Analysis
- Image processing pipelines for cell culture applications
- Object detection and tracking, feature extraction
- Machine learning and deep learning-based methods
- Experience with related software (ImageJ/FIJI, Icy, CellProfiler), libraries (opencv, scikit-image, scikit-learn) and computer vision methods/algorithms
- Data Science
- Data mining, munging and analysis
- Data presentation, communication and storytelling
- Toolkit: pandas, tidyverse, matplotlib, seaborn, ggplot
- Domain knowledge: cell & cancer biology
- Protein overexpression, purification and quantification (e.g. chromatography, electrophoresis)
- Prokaryote & eukaryote vector cloning (e.g. PCR, vector cloning, transduction and transfection)
- Expression of molecular fluorescent targets in vitro and analysis of time-lapse microscopy data
- General wet-lab experience with cell culture
- Language proficiency
- Portuguese: Native speaker
- English: fluent
- German: Fluent
- French: basic knowledge (able to read and understand)
- Italian: basic knowledge (able to read and understand)
Publications
Corrales Ureña, YR et al. Influences of the pH on the adsorption properties of an antimicrobial peptide on titanium surfaces. Applied Adhesion Science, v. 3, p. 7, 2015
Rossi de Aguiar, KMF et al. Urethanes PDMS-based: Functional hybrid coatings for metallic dental implants. Applied Surface Science, v. 484, p. 1128-1140, 2019
Onzi, GR; Faccioni, JL et al. Adipose-derived stromal cell secretome disrupts autophagy in glioblastoma. Journal of Molecular Medicine, v. 97, p. 2, 2019
Faccioni, JL and Onzi, GR et al. SCOUT: Single-cell outlier analysis in cancer. Biorxiv, 2020
Lenz LS, Faccioni JL, Bracco PA and Santos, JAF et al. Cancer cell fitness is dynamic. Cancer Research, v. 81, p. 1040-1051, 2020
