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Bioinformatician and Software Development Manager

Artificial Intelligence Expert

Temporary part-time position as a Bioinformatician & Software Development Manager in AI at a start-up to help with the development of an MVP that is capable of extracting ready to use insights from biomedical data. Developed a part of the MVP by integrating large language models (LLMs) and multi-agent systems (e.g., LangGraph, LangChain) with bioinformatics pipelines (e.g., RNASeq, DESeq, GSEA) on Azure Cloud. Implemented resource auto-scaling and conducted data engineering and feature selection to optimize these pipelines for machine learning algorithms.

• LangGraph
• LangChain
• Azure Cloud
• Data Engineering
• Nextflow
• RAG

R1 Researcher (PhD Candidate)

Norwegian University of Science and Technology

The doctoral research project (100% computational) I'm working in is centered around the stratification of patients (i.e. cancer subtyping, high risk groups for progression/metastasis, etc), and the identification of biomarkers and individuals who may or may not respond to diverse treatment strategies such as chemoradiotherapy and immune checkpoint inhibitors in the context of small-cell lung cancer (SCLC) using transcriptomics data (bulk, scRNA and spatial transcriptomics).

• Spatial Transcriptomics
• Single-cell RNA-seq
• RNA-seq

Data Scientist

BrandDelta

BrandDelta's main goal is to offer solutions to businesses that want to turbocharge their insights and increase their market share using Artificial Intelligence.

• MMM
• Finance
• AI
• Azure Cloud

PhD (180 ECTS)

Norwegian University of Science and Technology, Trondheim, Norway

Medical Technology

• Advanced deep learning with Python
• Bioinformatics Methods for Next Generation Sequencing
• Norwegian for Foreigners A2/A1
• Norwegian for Foreigners B2/B1

Postgraduate Diploma (60 ECTS)

University of Aveiro

Applied Statistics to Health Sciences (Medical Statistics)

• Medical Statistics (12/12 ECTS) which provided solid concepts on topics such as parametric and non-parametric tests, equivalence tests, linear regression, logistic regression, meta-analysis, survival analysis, generalized linear models, ...
• R programming (6 ECTS) which provided key concepts of R software to develop pipelines for data processing and statistical analysis.
• Sampling and Experimental Design (6 ECTS) which focused primarily on experiment design using ANOVAS (one-way, two-way, ANCOVA, MANOVA, Repeated Measures, Block Anova, Factorial designs, ...), Mixed Models (hierarchical, staggered, GLMM, GEEs, etc) as well as sampling and statistical power.
• GPA: 19/20

MSc (120 ECTS)

University of Aveiro

Clinical Bioinformatics (Biomedical Data Science)

• Data Analysis in Medical Sciences (Medical Statistics, Multivariate Data Analysis, Data Visualization ...)
• Computer Science, Database and Programming skills (Algorithms, Python, R, SQL and UML, and Linux)
• Machine Learning, Artificial Intelligence, Computer Vision, Big Data Analysis, and Deep Learning
• Multidisciplinary approach to omics and Genome Medicine (Genomics, Transcriptomics, Proteomics, Metabolomics...)
• Clinical Research, Clinical Decision Support and Clinical Data Management
• GPA: 18/20

Postgraduate Diploma (60 ECTS)

University of Aveiro

Molecular Biomedicine (Health Sciences)

• Data Analysis (Biomedical Statistics and Bioinformatics)
• Molecular mechanisms of disease, drug targets, biopharmaceuticals and Advanced therapy medicinal products (Genomics, Molecular Medicine, Systems Medicine, Biomarkers, Molecular Immunology and Immunotherapy, Neuroscience and Metabolic Diseases)
• Clinical Research (Good clinical practice (GCP and ICH), drug development process, standard operating procedure (SOP), planning and preparation of a trial, subject recruitment and retention, QA and QC)
• Lab Rotations: Internship experience @ CICECO for the development of cost-effective purification processes for high-value biopharmaceuticals (GPA for the internship: 19/20).
• GPA: 18/20

BSc (180 ECTS)

University of Aveiro

Biology (Life Sciences)

• Cell and Molecular Biology
• Microbiology
• Virology
• Genetics
• Physiology
• Bioinformatics and Biostatistics
• Molecular Pathology
• Organic Chemistry
• Biochemistry and Metabolism
• Genetic Engineering
• Food Biotechnology
• Tissue and Cell Culture
• Plant Biotechnology
• Human Biology
• Thesis grade: 19/20
• GPA: 17/20 (Graduated as top 10%)

Presenter

Oncology Forum

Did a 10 minute presentation of my PhD work, titled 'Subtyping, radiosensitivity and treatment outcomes in LS SCLC'. In person lecture + broadcasted on Zoom.

• presentation

Lecturer

MSD Norge

Did a 35 minute lecture invited by the MSD Norge, part of a regional autumn meeting about Lung Cancer, titled 'Treatment outcomes of chemoradiotherapy in LS SCLC according to molecular subtypes'. In person lecture + broadcasted on Zoom.

• lecture

Radiomics and Radiogenomics Platforms Integrating Machine Learning Techniques: A Review

Information Systems and Technologies

A review article of Radiomics and Radiogenomics platforms. Useful as a literature search that was then used for my Master thesis.