Summary
Serbülent Ünsal is a Senior ML Engineer based in the UK with over 15 years of experience at the intersection of life sciences and AI, combining deep academic training (PhD and MSc in Medical Informatics) with hands-on production engineering. He builds and deploys machine learning and deep learning models for proteomics, bioinformatics and tumor modeling, and currently leads ML efforts at Antiverse while continuing research activities at Karadeniz Technical University. His background spans full-stack software engineering, systems architecture and healthcare integrations—experience gained building hospital integration clients, decision-support systems, and IHE-compatible radiology platforms. Comfortable across languages and platforms (from Python and Java to .NET and Linux ops), he bridges research rigor and pragmatic engineering to deliver reproducible ML systems. Notably, he has steered both startup product development and national-scale open-source testing projects, demonstrating an ability to translate complex clinical requirements into operational software.
15 years of coding experience
9 years of employment as a software developer
BS, Statistics and Computer Sciences, BS, Statistics and Computer Sciences at Karadeniz Teknik Üniversitesi
Doctor of Philosophy (Ph.D.), Medical Informatics, Doctor of Philosophy (Ph.D.), Medical Informatics at Middle East Technical University
Master, Medical Informatics, 3.58/4, Master, Medical Informatics, 3.58/4 at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Yusuf Kalkavan Anadolu Lisesi
English