Summary
Yoav Wigelman is a senior data scientist with five years of experience bridging computational biology and production-grade data science, currently at Palo Alto Networks after CyberArk’s acquisition. He combines an MS in Oncology from the Weizmann Institute and PhD-level research at Bar-Ilan with hands-on expertise in Python, NGS genomic pipelines, and Azure cloud deployments. Yoav has applied supervised and unsupervised methods to predict treatment outcomes and built analytical tools for large immune-genetics datasets, reflecting deep domain knowledge across wet-lab and computational workflows. He’s comfortable shipping reproducible pipelines in Linux environments and translating complex molecular protocols into scalable code—an unusual blend of bench skills (library prep, cloning, antibody production) and model-driven analytics. Known for meticulous attention to detail and a collaborative mindset, he also actively mentors peers and shares learnings from academic research into practical security and biotech applications. Based in Sde Warburg, Israel, he brings curiosity-driven problem solving and a proven track record of moving immunoinformatics from research to real-world impact.
5 years of coding experience
4 years of employment as a software developer
Data Science and Machine Learning Fellow, Data Science and Machine Learning Fellow at Israel Tech Challenge <itc>
Master of Science (MS) Oncology and Cancer Biology, Master of Science (MS) Oncology and Cancer Biology at Weizmann Institute of Science
Bachelor of Science (BSc) Biotechnology, Bachelor of Science (BSc) Biotechnology at Bar-Ilan University