Doctoral Student at DKFZ German Cancer Research Center
Heidelberg, Baden-Württemberg, Germany
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Summary
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Abdul Moeed is a Machine Learning PhD student at DKFZ/Heidelberg with 11 years of software engineering experience, specializing in ML methods for cancer research and single-cell genomics. He combines rigorous research—building representation learning models under mentors like Oliver Stegle and Fabian Theis—with practical ML engineering across industry projects in object detection, autonomous systems, and RL domain transfer. Trained at Technical University Munich and NUST, he prioritizes clean, portable code and bridges academic rigor with production-oriented implementation. Past roles at Helmholtz Zentrum München, Logivations, and appliedAI reflect a habit of translating cutting-edge research into deployable systems. Beyond code, he writes articles and directs short films, reflecting a creative streak that informs clear communication and interdisciplinary collaboration.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Informatics, 1.4/1.0, Master of Science - MS, Informatics, 1.4/1.0 at Technical University Munich
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Heidelberg University
Bachelor of Science - BS, Computer Science, 3.61/4.00, Bachelor of Science - BS, Computer Science, 3.61/4.00 at National University of Sciences and Technology (NUST)
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