After completing his Neuroscience degree at King's College London, Tomas delved into Alzheimer's research, studying the protective PLCG2 protein. Subsequently, he spent over two years focused on developing a gene therapy for ALS at the Ruepp lab in King's UKDRI and in collaboration with the Fratta lab at UCL, targeting TDP-43-induced mis-splicing. These experiences provided invaluable insights into basic and translational research and the intricate process of therapy development. During this time, Tomas was captivated by Professor Manolis Kelis’s lectures on “Machine Learning in Genomics,” sparking his interest in the potential of bioinformatics to unravel the complexities of disease mechanisms. Intrigued by this, he initiated a collaborative project with the Escott-Price lab to investigate the predictive power of polygenic risk scores (PRS) and machine learning (ML) in disease outcomes. They simulated GWAS data and are applying both techniques to gain insights into their strengths and limitations. Concurrently, Tomas independently acquired foundational knowledge in transcriptomic analysis, enabling him to secure a research assistant position in Dr. Sarah Marzi’s lab. There, he contributed to profiling epigenetic signatures in a Parkinson’s rotenone model. Currently, he is pursuing a PhD investigating the epigenetic regulation of RNA splicing and transposable elements in amyotrophic lateral sclerosis (ALS) in the Marzi lab. His research focuses on developing algorithms to integrate multi-omics datasets to uncover complex relationships between epigenetic modifications and RNA processing.