Márcia Vagos
Lead Data Scientist | Research Engineer | Software Developer | Tech Leader
Marsian Consulting
Biography
I am a technical leader with a PhD in Scientific Computing and a decade of experience developing data-driven solutions across research and industrial projects. My background spans machine learning, signal processing, computational modeling, software engineering, and scalable computing systems. I specialize in turning complex, high-dimensional data into reliable solutions by combining algorithm development with robust software engineering.
I particularly enjoy working at the intersection of scientific applications and engineering: understanding complex technical problems, translating them into practical computational solutions, and building systems that are efficient, maintainable, and reliable in real-world settings. My experience includes working with large-scale sensor data, machine learning pipelines, scientific simulations, and compute-intensive workloads.
In 2020 I obtained a PhD degree from the University of Oslo, undertaken at Simula Research Laboratory (Norway) and within the Marie Curie AfibTrain-Net project, which focused on computational modelling of cardiac electrophysiology.
Interests
- High-performance Data Science
- Signal and image processing
- Mathematical modelling
- Software architecture
- AI and Mmachine learning
- Uncertainty quantification
- Digital Twins
- Photography
- Human Evolution
Education
-
PhD in Cardiac Modelling, 2020
Simula Research Laboratory
-
Research visit, 2017
School for Cardiovascular Diseases, Maastricht university
-
Research internship, 2012
Computer Science Department, Aalto University
-
M.Eng in Biomedical Engineering, 2013
Faculty of Engineering, University of Porto
-
B.Eng in Bioengineering, 2011
Faculty of Engineering, University of Porto
Skills
Data Science
Modeling and Simulation
Software Engineering
AI
Computational Biology
Signal Processing
Experience
Freelance consultant for a client in the Defense sector
Marsian Consulting
Responsibilities include:
- Implementing and optimizing production-grade signal-processing pipelines for large-scale acoustic sensor datasets, using accelerated computing libraries for efficient computation.
- Deploying and operated edge computing infrastructure for continuous sensor monitoring.
- Supporting field deployment, installation, and calibration of advanced sensing equipment.
- Collaborating with technical stakeholders to translate operational and system requirements into software and data-processing solutions.
- Designing system architectures and employed software life cycle best practices for production monitoring.e
Senior Data Scientist, AI Engineer
Systematic
Responsibilities included:
- Development of AI-driven products for situational awareness in defense.
- Developing a framework for LLM response evaluation and deploying it in an LLMOps pipeline.
- Implementing Python services and architecting integrations.
- Deloying pipelines in production and monitoring deployments.
- Establishing and promoting software development best practices.
- Mentoring younger team members and supporting internal skill development roadmaps.s
Data Scientist, Project Engineer
Semcon Norge AS
Responsibilities included:
- Research
- Development
- Computational modelling
- Data science
PhD Candidate
Simula Research Laboratory
PhD student within the Afib-TrainNet project. Responsibilities included:
- Research
- Modelling and simulation
- Writing scientific publications
- Project management
- Scientific dissemination
Research Assistant
Forschungszentrum Informatik
Development of a 3D model of the human eye and performing thermal simulations of laser-induced damage. Responsibilities included:
- Development
- Modelling and simulation