Summary
Ize Buphamalai is a Principal Scientist based in Vienna with nine years of experience at the intersection of biology, high-throughput experiments, and machine learning, currently advancing I&I work at Graph Therapeutics. With a PhD in Medical Informatics and roles at Exscientia/Recursion and CeMM, they build multimodal frameworks that span disease biology to target discovery and graph-based disease gene prioritisation. Comfortable translating complex wet-lab questions into scalable computational solutions, Ize blends a physics-trained mindset with deep bioinformatics expertise. They also lead the Viennese TechBio community as Austria regional lead for TechBio Transformers, demonstrating a commitment to building networks as well as models. An uncommon detail: they can quote many astronomical constants by heart, hinting at a disciplined quantitative curiosity that informs their cross-disciplinary problem solving.
9 years of coding experience
3 years of employment as a software developer
Master's Degree, Computational Systems Biology, Master's Degree, Computational Systems Biology at Aalto University
M.Sc., Tech, M.Sc., Tech at KTH Royal Institute of Technology
Doctor of Philosophy - PhD, Medical Informatics and Complex Systems, Doctor of Philosophy - PhD, Medical Informatics and Complex Systems at Medical University of Vienna
Bachelor of Science (B.Sc.), Distinction, Physics, 3.79/4.00, Bachelor of Science (B.Sc.), Distinction, Physics, 3.79/4.00 at Mahidol University
English, Thai, German