Rui Medina

Rui Medina. He is a Portuguese computational biologist recognized for his pioneering work at the intersection of network theory, machine learning, and molecular biology. His research focuses on developing novel algorithms and computational models to decipher complex biological systems, particularly in the context of cancer and host-pathogen interactions. Medina's contributions have advanced the field of systems biology, providing tools to integrate and interpret large-scale genomics and proteomics datasets.

Early life and education

Born in Lisbon, he showed an early aptitude for mathematics and natural science. He completed his undergraduate studies in Biochemistry at the University of Lisbon, where he first engaged with computational methods in biology. For his doctoral research, he joined the University of Cambridge, working under the supervision of a leading figure in bioinformatics at the European Bioinformatics Institute. His PhD thesis, awarded in the early 2010s, involved the development of graph theory-based approaches to analyze protein-protein interaction networks, laying the groundwork for his future research direction.

Career

Following his PhD, he secured a postdoctoral fellowship at the European Molecular Biology Laboratory in Heidelberg, Germany, collaborating with experts in cancer genomics and single-cell sequencing. He returned to Portugal to establish his independent research group at the Instituto Gulbenkian de Ciência in Oeiras. His laboratory quickly gained prominence, attracting funding from major European initiatives like Horizon 2020 and fostering collaborations with institutions such as the Francis Crick Institute and the Broad Institute. He has served on the program committees of major conferences including Intelligent Systems for Molecular Biology and the European Conference on Computational Biology.

Research and contributions

His primary research contributions lie in creating computational frameworks for network biology. A key innovation was an algorithm for the multi-omic integration of transcriptomics, metabolomics, and phosphoproteomics data to identify master regulatory modules in breast cancer subtypes, published in journals like Nature Communications and Cell Systems. His group also developed a widely-used method for inferring signaling pathway activity from bulk and single-cell RNA sequencing data, applied to studies of SARS-CoV-2 infection and Alzheimer's disease. Furthermore, he has contributed to understanding evolutionary constraints in biological networks through collaborations with researchers at the Max Planck Institute for Developmental Biology.

Awards and recognition

His work has been recognized with several prestigious awards and grants aimed at supporting emerging scientific leaders. He was selected as an EMBO Young Investigator, joining a network of Europe's most promising young life science researchers. He is also a recipient of an ERC Starting Grant from the European Research Council to fund ambitious, high-risk research. His publications have been highlighted by the Faculty of 1000, and he has been invited to speak at flagship events such as the Gordon Research Conference on Systems Biology and the Keystone Symposia.

Personal life

He maintains a strong connection to the Portuguese scientific community, actively mentoring students through programs with the University of Porto and the Nova University Lisbon. An advocate for open source software in science, he contributes to projects on GitHub and participates in bioinformatics training workshops across Europe, including those organized by ELIXIR. Outside of academia, he is known to be an enthusiast of mountaineering and classical music.