Summary
Yoel Shoshan is a computational biology and chemistry researcher with 10+ years of experience applying machine learning, deep learning, and algorithm design to accelerate drug discovery and medical imaging. He blends strong low-level systems skills in C/C++ and reverse engineering with high-level Python ML stacks (TensorFlow, PyTorch, Keras), enabling novel cross-domain solutions from GPU-parallelized engines to bioinformatics pipelines. Previously a CTO and engine group leader at LucidLogix, Yoel has led R&D and core IP development while shifting into IBM research to invent methods for drug repurposing and medical imaging analytics. His background in graphics, DirectX/OpenGL, and mathematical modeling gives him an unusual ability to optimize compute-intensive workflows end-to-end. Based in Israel, he combines hands-on prototyping with publication-grade algorithmic thinking and a track record of turning complex research into practical, production-ready tools.
9 years of coding experience
16 years of employment as a software developer
Computer Science, Computer Science at Ben-Gurion University of the Negev