Summary
Zahangir Alom is a Sr. Bioinformatics Research Scientist and adjunct Computer Science faculty with nine years of experience applying machine learning and deep learning to medical image informatics, computational pathology, and multi-omics clinical problems. At St. Jude Children’s Research Hospital he builds multimodal AI systems that integrate histopathology, RNA-Seq, DNA methylation and clinical data for pediatric brain tumor diagnosis, prognosis and drug-response prediction. He holds a Ph.D. in Electrical and Computer Engineering from the University of Dayton and combines strong academic publication experience with practical deployment goals to move models toward clinical workflows. Technically fluent in Python, TensorFlow, PyTorch, Spark/Hadoop, R and C/C++, he blends research rigor with engineering practices to tackle large-scale biomedical datasets. An often-overlooked strength is his cross-disciplinary training in clinical investigations, which helps bridge the gap between algorithm development and translational impact.
9 years of coding experience
8 years of employment as a software developer
Master's in, Clinical Investigations, 3.89, Master's in, Clinical Investigations, 3.89 at St. Jude Graduate School of Biomedical Sciences
Ph.D. in Electrical and Computer Engineering, 3.74, Ph.D. in Electrical and Computer Engineering, 3.74 at University of Dayton
Master's degree, Computer Engineering, 4.0, Master's degree, Computer Engineering, 4.0 at Chonbuk National University
B.Sc, Compuer Science and Engineering, 3.73, B.Sc, Compuer Science and Engineering, 3.73 at University of Rajshahi