
Curriculum Vitae
Bruno Saraiva
My scientific career has been focused on developing computational tools and methods to advance microscopy image analysis,
with a particular emphasis on bacterial cell biology.
Education and Early Career:
- MSc in Biochemistry (2014) from University of Aveiro, where I gained a strong foundation in molecular and cellular biology.
- Joined the Bacterial Cell Biology Lab at ITQB NOVA as a research technician in 2015, where I was first exposed to advanced
microscopy techniques and image analysis for studying bacterial cells.
PhD Research (2018-2022):
- Completed PhD in Biological Engineering at ITQB NOVA under supervision of Dr. Mariana Pinho.
- Developed novel computational methods for analyzing super-resolution microscopy data of bacterial cells, particularly Staphylococcus
aureus.
- Key achievement: Created eHooke, an automated image analysis pipeline for spherical bacteria that can segment cells and
classify their cell cycle stage using machine learning. This tool has been widely adopted in the field.
- Published 4 peer-reviewed papers during PhD, including 2 as first author in high-impact journals like Nature Communications
Postdoctoral Research (2022-present):
- Joined the Optical Cell Biology Lab at IGC led by Dr. Ricardo Henriques.
- Leading the development of NanoPyx, a high-performance bioimage analysis framework.
- Integrating machine learning and GPU acceleration techniques to dramatically speed up microscopy image processing workflows.
Key Skills and Expertise:
- Advanced programming in Python, C, and OpenCL for scientific computing and image analysis
- Machine learning and deep learning, particularly applied to microscopy image segmentation and classification
- High-performance computing and GPU acceleration of image processing algorithms
- Super-resolution microscopy techniques and analysis
- Bacterial cell biology, with focus on cell division and antibiotic resistance mechanisms
- Open-source software development and community building
Identification
Personal identification
- Full name
- Bruno Saraiva
Citation names
- M. Saraiva, Bruno
Author identifiers
- Ciência ID
- B61E-2513-7A8B
- ORCID iD
- 0000-0002-9151-5477
Knowledge fields
- Natural sciences - Biological Sciences - Microbiology
- Exact Sciences - Computer and Information Sciences - Bioinformatics
- Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics
Languages
Language | Speaking | Reading | Writing | Listening | Peer-review |
---|---|---|---|---|---|
Portuguese | Advanced (C1) | Advanced (C1) | Advanced (C1) | Advanced (C1) | |
English | Advanced (C1) | Advanced (C1) | Advanced (C1) | Advanced (C1) | Advanced (C1) |
Education
Degree | Classification | |
---|---|---|
2022/05/04
Concluded
|
Biociências Moleculares (Doutoramento)
Universidade Nova de Lisboa Instituto de Tecnologia Química e Biológica António Xavier, Portugal
"Studies of Staphylococcus aureus’ cell cycle: New approaches for automated analysis" (THESIS/DISSERTATION)
|
|
2014
Concluded
|
Mestrado em Bioquímica, ramo de Métodos Biomoleculares (Mestrado)
Universidade de Aveiro, Portugal
"Identificação de Bactérias por Espectrometria de Massa" (THESIS/DISSERTATION)
|
16 |
2013
Concluded
|
Licenciatura em Bioquímica (Licenciatura)
Universidade de Aveiro, Portugal
"Síntese e Análise da Atividade Antibacteriana de Tetraarilporfirinas catiónicas" (THESIS/DISSERTATION)
|
12 |
Affiliation
Science
Category Host institution |
Employer | |
---|---|---|
2024/10/01 - Current | Postdoc (Research) | Universidade Nova de Lisboa Instituto de Tecnologia Química e Biológica António Xavier, Portugal |
Universidade Nova de Lisboa Microbiologia Molecular Estrutural e Celular, Portugal | ||
2022/05/16 - Current | Postdoc (Research) | Gulbenkian Institute for Molecular Medicine, Portugal |
Others
Category Host institution |
Employer | |
---|---|---|
2018/02/01 - 2022/05/04 | PhD Student | Universidade Nova de Lisboa Microbiologia Molecular Estrutural e Celular, Portugal |
2015 - 2018 | Bolseiro de Investigação | Universidade Nova de Lisboa Microbiologia Molecular Estrutural e Celular, Portugal |
Projects
Grant
Designation | Funders | |
---|---|---|
2018/03 - 2023/02 | Exploring the bacterial cell cycle to re-sensitize antibiotic-resistant bacteria
ERC-2017-CoG-771709
Research Fellow
|
|
2013/03 - 2018/02 | Finding New Mechanisms for Protein Localization in Bacteria
ERC-2012-StG-310987
Research Fellow
|
Contract
Designation | Funders | |
---|---|---|
2023/01 - 2023/10/31 | Cutting-edge super-resolution image analysis in Napari through NanoJ
Post-doc
Instituto Gulbenkian de Ciência, Portugal
|
The Chan Zuckerberg Initiative
Concluded
|
Outputs
Publications
Journal article |
|
Preprint |
|
Other
Other output |
|
Activities
Oral presentation
Presentation title | Event name Host (Event location) |
|
---|---|---|
2024/08/30 | NanoPyx: super-fast bioimage analysis powered by adaptive machine learning | SMLMS24
ITQB-NOVA (Lisboa, Portugal)
|
2024/06/17 | Accelerating bioimage analysis throught an adaptive Python framework | AI/Smart microscopy workshop (AISMW2024)
University of Lund (Lund, Sweden)
|
2023/05/11 | NanoPyx: a high-performance Python Library for microscopy image analysis | NEUBIAS 23
(Porto, Portugal)
|
2022/10/03 | Biological discovery through image analysis | EMBO Course: Computational Optical Biology
Instituto Gulbenkian de Ciência (Lisboa, Portugal)
|
2021/11/26 | eHooke: a framework for automated image analysis of Staphylococcus aureus based on cell cycle progression | Microbiotec 21
(Portugal)
|
Distinctions
Award
2018 | Pfizer Award
Pfizer Portugal, Portugal
|