Summary
Eddie Imada is an Assistant Professor of Research in Computational and Systems Pathology at Weill Cornell Medicine with 11 years of experience applying bioinformatics, biostatistics, and applied machine learning to oncology and computational pathology. He holds a Ph.D. in Bioinformatics and has led NGS-driven studies and development of computational methods for large-scale multi-omics and multiplexed immunofluorescence imaging analysis. Skilled in reproducible research practices and workflow/container tooling (Snakemake, Nextflow, Docker, Singularity), he bridges method development and practical deployment for translational studies. His background spans top research environments including Johns Hopkins and Weill Cornell, and he brings a knack for turning complex imaging and sequencing datasets into clinically relevant insights. An avid learner and analytical thinker, he often combines computer vision with statistical rigor to tackle heterogeneous tumor microenvironment problems.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Genetics and Molecular Biology, Master's degree, Genetics and Molecular Biology at Universidade Estadual de Londrina
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Universidade Federal de Minas Gerais
Federal University of Technology – Paraná
Portuguese, English, Spanish