Mert Kilickaya

Senior Deep Learning Researcher at Agendia

Amsterdam, North Holland, Netherlands
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Summary

👤
Senior
🎓
Top School
Mert Kilickaya is an industrial deep learning researcher with 11 years of experience and a PhD in Artificial Intelligence, currently developing models for cancer prognosis at Agendia. He specializes in representation learning, self-supervised and continual learning, and building scalable pipelines that convert weakly supervised real-world data into robust clinical biomarkers, particularly in digital pathology and transcriptomics. His work spans academia and industry—from a PhD at University of Amsterdam and postdoc roles to positions at Qualcomm Lab, Huawei, and Eindhoven University of Technology—and includes 10+ peer-reviewed papers and four US patents. Colleagues describe him as research-driven but product-minded: he not only invents models but also deploys end-to-end systems that adapt over time. An interesting facet is his blend of foundational ML (foundation models, generative AI) with hands-on biomedical signal extraction, making him adept at translating novel algorithms into clinically actionable tools.
code11 years of coding experience
job13 years of employment as a software developer
bookBachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Ankara University
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Hacettepe University
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Amsterdam
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Github Skills (57)

caffe9
machine-learning9
matconvnet9
deep-learning9
matlab8
image-matching8
attention-mechanism8
convolutional-neural-networks8
siggraph7
image-registration7
skeleton7
image-text6
adversarial-learning6
javascript6
human-computer-interaction6

Programming languages (8)

C++JavaScriptLuaHTMLJupyter NotebookMATLABCudaPython

Github contributions (5)

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kilickaya/label-efficient-il

Jan 2023 - Mar 2023

Contributions:28 commits, 28 pushes, 1 branch in 1 month
Contributions:359 pushes, 1 branch in 9 years 4 months
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