Summary
Jiajie Zhang is a Chief Data Science and AI Officer with 13 years of experience building and scaling AI across pharma and health tech, most recently accelerating clinical development at Evinova (AstraZeneca health tech). He has led enterprise GenAI and AI/ML functions at Sanofi and GSK, delivering production AI for drug discovery, imaging biomarkers, generative design and R&D productivity initiatives with multi-hundred-million dollar impact estimates. Technically grounded from a PhD in machine learning and bioinformatics, he previously built production deep learning systems at Oxford Nanopore and state-of-the-art NLP and multi‑omics generative models at BenevolentAI. He combines hands-on model engineering and product leadership with governance expertise, having helped define corporate responsible AI and engaged regulators like EMA/FDA. Notably, his pathology computer-vision pipelines scale to billions of pixels and have been used to protect multi-billion dollar oncology assets. Based between Oxford and Switzerland, he blends academic rigor with delivery at enterprise scale to translate complex biomedical data into measurable clinical and commercial value.
13 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Machine Learning Bioinformatics and Computational Biology, Doctor of Philosophy (PhD) Machine Learning Bioinformatics and Computational Biology at Universität zu Lübeck
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Jilin University
English, Chinese, German