Saba Khan is a Ph.D. student and Graduate Research Assistant at the University of Houston with a decade of experience building AI and software systems that bridge research and real-world applications. Her current research develops human–AI collaboration frameworks for X‑ray diagnosis, combining Large Language Models with eye‑tracking to improve radiology workflows. She has hands‑on expertise in PyTorch and TensorFlow, underpinned by strong statistics and data‑mining skills, and brings international applied research experience from Fraunhofer FIT on IoT projects. Comfortable moving between prototyping and empirical evaluation, she is equally versed in software development and rigorous experimental design, positioning her to translate cutting‑edge ML into clinical decision support.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Houston
Kendriya Vidyalaya Sangathan
Master's, Computer Science, Master's, Computer Science at The University of Bonn
Contributions:1 push, 1 branch in 2 years 7 months
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