Summary
Toma Tebaldi is an Associate Professor and computational biologist with 11 years of experience probing RNA-driven mechanisms of human disease, combining experimental and computational approaches focused on alternative splicing, non-coding RNA interactions, RNA-binding protein mutations, epitranscriptomic marks, translation dynamics, and single-cell expression. Currently faculty at Università di Trento and adjunct at Yale School of Medicine, he bridges European and American research environments with a track record spanning postdoc training, EMBO fellowship, and translational research positions. Trained with a PhD in Bioinformatics from Università di Trento, he applies integrative analyses to dissect how RNA regulation becomes dysregulated in pathology and to identify mechanistic targets. Colleagues value his ability to connect deep wet-lab insight with computational rigor, and he often combines high-resolution single-cell and molecular profiling to reveal subtle, non-obvious regulatory perturbations.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Università di Trento
Master's degree, Bioinformatics, Master's degree, Bioinformatics at Università degli Studi di Milano-Bicocca