Summary
Selim Yilmaz is a data science manager and AI researcher with a decade of experience bridging academic research and industry innovation, currently leading data science at American Express in London. His PhD work at Imperial College and visiting stint at Stanford center on energy-efficient and privacy-preserving ML for communications, resulting in toolkits like Kaira and publications in top venues. He has translated research into industry impact via a Huawei secondment that produced a state-of-the-art diffusion-based wireless image transmission system (IEEE INFOCOM 2024) and led ML teams at startups to build region-leading NLP and anomaly-detection systems. Comfortable shipping production software and open-source tools (e.g., pysad and multiple Cytoscape.js extensions), he combines systems-level engineering with deep expertise in federated learning, semantic communication, and ML for networking. Colleagues describe him as a researcher who reliably moves concepts from prototype to deployed results while keeping energy and privacy considerations front and center.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Imperial College London
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Bilkent University
Visiting Researcher, Visiting Researcher at Stanford University
Turkish, English