Summary
Konstantinos Sechidis is a Director of Data Science with nine years of experience building and translating advanced statistical and machine learning methods into healthcare analytics at major pharma companies. He progressed through research and applied roles at The University of Manchester, Roche and Novartis, rising from PhD researcher to senior leadership focused on digital biomarkers and personalized healthcare. An active machine learning researcher, he serves on the editorial board of the Machine Learning Journal and as vice‑chair of IAPR’s technical committee on Statistical Pattern Recognition Techniques, reflecting influence beyond day‑to‑day delivery. He combines deep academic training (PhD in Computer Science, advanced degrees in signal processing and information systems) with hands‑on experience deploying analytics in regulated clinical environments. Colleagues describe him as someone who bridges methodological innovation and practical impact — turning novel models into actionable evidence for drug development. Based in Basel, he uniquely blends pattern‑recognition expertise with product‑grade data science leadership in the life sciences.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The University of Manchester
Master's degree Communications and Signal Processing, Master's degree Communications and Signal Processing at Imperial College London
Master's degree Information Systems, Master's degree Information Systems at Aristotle University of Thessaloniki (AUTH)
English, Greek, Spanish, German