Arif Khan is a bioimage analyst with nine years of research and applied experience, currently based at EMBL Heidelberg and living in Mannheim, Germany. He holds a PhD in Applied Computer Science (magna cum laude) from KIT and a Master's in Automation & Robotics, combining strong theoretical foundations with hands-on tool development. His career spans research scientist and doctoral roles where he developed feedback-based image processing, segmentation/classification algorithms, benchmark datasets, and interactive applications for biomedical image analysis. Arif is adept at turning complex microscopy data into robust, reproducible analysis pipelines and has a proven track record of bridging algorithm research with practical software tools. Colleagues value his focus on reproducibility and data-driven validation—skills honed while creating benchmark datasets to compare image-processing approaches. He seeks roles that leverage his technical depth to deliver impactful, research-oriented solutions for life sciences.
9 years of coding experience
6 years of employment as a software developer
Master's Degree, Automation & Robotics, Master's Degree, Automation & Robotics at TU Dortmund University
Doctor of Philosophy - PhD, Applied Computer Science, Magna cum laude, Doctor of Philosophy - PhD, Applied Computer Science, Magna cum laude at Karlsruhe Institute of Technology (KIT)
Resources for teaching/preparing to teach bioimage analysis
Contributions:10 reviews, 72 commits, 22 PRs in 7 months
teachingpythonteachbioimage-analysis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.