Firas Khader is a CTO and co-founder with eight years of experience translating deep learning research into clinical-grade medical imaging products, currently building AI-driven cancer biomarkers at StratifAI. With a PhD and postdoctoral work at RWTH Aachen, he blends rigorous academic research in medical image analysis with hands-on engineering to ship production-ready models and scalable cloud services. His background spans cardiac and multimodal rodent imaging projects, MICCAI-accepted segmentation work, and deployment using PyTorch, Docker, Flask, and React, reflecting an end-to-end ML lifecycle focus. Firas pairs technical leadership with startup R&D experience, having led chip fabrication teams and clinical integration efforts that bridge cleanroom hardware, algorithms, and clinician workflows. He holds advanced degrees in electrical engineering and management and completed an exchange at Georgia Tech, evidencing both deep technical rigor and business acumen. Less obvious: he repeatedly moves between academic and product roles, uniquely positioning him to both publish peer-reviewed work and deliver regulatory-conscious clinical software.
8 years of coding experience
1 year of employment as a software developer
International exchange student, Mechatronics, Robotics, and Automation Engineering, GPA: 4.0 (best possible grade), International exchange student, Mechatronics, Robotics, and Automation Engineering, GPA: 4.0 (best possible grade) at Georgia Institute of Technology
Master of Science - MS, M.Sc. in Management, Business and Economics, Master of Science - MS, M.Sc. in Management, Business and Economics at RWTH Aachen University
Bachelor of Science - BS, Electrical Engineering, GPA: 3.6, Bachelor of Science - BS, Electrical Engineering, GPA: 3.6 at Technische Universität Hamburg
Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis
Contributions:1 release, 7 pushes, 1 branch in 11 months
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