Edroaldo Da Rocha is an Assistant Professor and scientist with a decade of experience applying systems biology and machine learning to single-cell genomics, stem cell engineering, and cancer research. He leads a lab at Universidade Federal de Santa Catarina and founded Cellertz Bio to translate computational insights into applied solutions. His postdoctoral training at Harvard Medical School and Boston Children's Hospital, plus a visiting stint at Harvard's Wyss Institute, shaped his work on nanoparticle-based cancer targeting and data-driven dissection of cell phenotypes. He has a strong publication record in interdisciplinary biology and brings together quantitative modeling and experimental design to uncover molecular drivers of health and disease. An uncommon strength is his combination of deep computational skill with hands-on translational initiative through an active startup.
Framework for Unified Single-Cell Analysis (FUSCA) is a software package for single-cell data analysis developed in R. At the moment, it contains two modules: 1) CellRouter, for reconstruction of complex single-cell trajectories, and 2) CellComm, to infer intercellular communication networks from scRNA-seq data.
Contributions:22 commits, 19 PRs, 19 pushes in 2 years 2 months
Contributions:78 commits, 1 PR, 75 pushes in 1 year 5 months
reconstructiontrajectoriessingle-cell
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Edroaldo Da Rocha - Assistant Professor at Cellertz Bio