Build technical foundations
Progressively develop skills in mathematics, biology, physics, programming, electronics and data analysis.
01
Overview
This project functions as a living archive of my training in Biomedical Engineering.
It is not intended to be a complete collection of university notes. Instead, it brings together selected concepts, problems, visualisations, experiments and reflections that are especially relevant to understanding the relationship between engineering, neuroscience and clinical practice.
The aim is to document not only what I learn, but also how my way of thinking evolves as I incorporate mathematical, biological, computational and technical tools.
02
Motivation
My professional background has developed primarily in clinical neuropsychology, cognitive assessment and dementia.
Clinical practice gradually led me towards questions that require tools beyond psychology: how biological processes can be measured more effectively, how physiological signals can be interpreted, how different sources of information can be integrated and how genuinely useful technology can be developed for brain health.
Biomedical Engineering does not represent a departure from that path, but rather an expansion of the tools available to approach the same questions from new perspectives.
03
Objectives
Connect disciplines
Relate engineering concepts to neuroscience, neuropsychology and problems connected with brain health.
Document learning
Create a visible record of concepts, problems, revisions, projects and changes in understanding throughout my training.
Develop scientific thinking
Progress from learning content towards formulating questions, designing experiments and analysing data.
04
Learning areas
Mathematics and modelling
Linear algebra, systems of equations, vectors, matrices, transformations and mathematical tools used in biomedical modelling and data analysis.
Cell biology
Cellular organisation, membranes, signalling, metabolism, genetics and cellular mechanisms related to health and disease.
Physiological signals
Acquisition, processing and interpretation of signals such as ECG, EEG, EMG and other biological measurements.
Scientific computing
Programming, data analysis, visualisation and development of reproducible workflows applied to biomedical problems.
Medical technology
Sensors, instrumentation, medical devices and systems designed for assessment, monitoring and rehabilitation.
Neuroengineering
Engineering applications to the study of the nervous system, neuroimaging and technologies focused on brain health.
05
Current semester
My first semester focuses on two fundamental areas: Algebra and Cell Biology.
Mathematics
Algebra
Building the mathematical foundations needed to work with vectors, matrices, linear systems and transformations.
Within this archive, I will select concepts that are particularly relevant to future biomedical applications and transform them into explanations, visualisations and small computational experiments.
Biology
Cell Biology
Study of cellular structure and function, signalling, metabolism and the fundamental mechanisms of life.
I will pay particular attention to connections between cell biology, the nervous system, ageing, neurodegeneration and brain health.
06
What I will document
The archive is not intended to reproduce the complete content of each course. I will select materials that demonstrate understanding, reasoning and application.
Key concepts
Original explanations of particularly relevant ideas, prioritising understanding over memorisation.
Visualisations
Diagrams, mathematical representations and figures created to better understand biological systems and technical concepts.
Biomedical applications
Connections between academic content and problems in biomedicine, neuroscience and brain health.
Code and small experiments
Computational exercises, analyses and simulations developed progressively as my technical training advances.
Learning reflections
Which concepts were difficult, what changed my understanding of a problem and which new questions emerged during the process.
07
Future development
This archive will grow progressively as I advance through the degree.
Rather than trying to document everything, I will select material that contributes an especially relevant idea, tool or connection.
Over time, the aim is for this project to show an evolution from academic foundations towards more complex work involving signal analysis, neuroimaging, sensors, programming and artificial intelligence applied to health.