Feroze Fazaludeen (feroze.fazaludeen@uef.fi)
A motivated researcher with a strong background in cell culture, stem cell, and next-generation sequencing work. Contributed to develop methodology for producing human iPSC-derived microglia and organoids to study the development of the brain and Alzheimer’s disease. Participated in several research projects, some of which produced publications and one of which led to a patent. Experienced in writing SOPs, qualification protocols, and reports. A competent scientist with a solid foundation in molecular biology and bioinformatics.
Ville Hautamäki (ville.hautamaki@uef.fi)
Senior researcher at the computer science department. Focusing on data science, with specialization in statistical inference and deep learning. At the moment, I teach regularly following courses, Probabilistic inference for data science, Bayes-inference and annual summer school on machine learning. My current application areas are autonomous agents, bioinformatics and speech technology.
Vittorio Fortino (vittorio.fortino@uef.fi)
I hold a Bachelor’s and Master’s degree in Computer Science, a PhD in Bioinformatics, and a Docentship in Health Bioinformatics. My research is centered on developing and implementing machine learning, heuristic optimization, and network data mining algorithms to tackle the principal computational challenges inherent in the precision medicine (PM) approach. PM is dedicated to the integration of molecular markers with conventional clinical data to customize medical treatment and enhance patient outcomes. My team’s current projects include: 1) patient stratification utilizing both single- and multi-view datasets, facilitated by deep learning, dimensionality reduction, and knowledge-driven clustering analyses; 2) biomarker identification through the analysis of extensive genomics data, applying metaheuristic techniques for feature selection, and; 3) the creation of network data mining algorithms aimed at discovering drug targets and repurposing existing drugs. Our work is pivotal in translating complex biological data into actionable insights for PM, ultimately aiming to optimize individual patient care.