Edden Gerber is a Staff Data Scientist based in Tel Aviv with 10 years of experience building ML and algorithmic solutions across academia and industry, currently applying AI to protein engineering. He holds a PhD in computational neuroscience and has deep expertise in time-series analysis and multimodal neuroimaging, which he has translated into applied AI work from AutoML research to production at SparkBeyond and algorithm development at AI21 Labs. His background spans signal and protocol analysis in defense contexts through to cutting-edge biotech, giving him a rare mix of rigorous experimental science and systems-level engineering. Known for turning research ideas into production code, he bridges statistical rigor with pragmatic engineering to accelerate discovery in complex, data-rich domains.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Neuroscience, Doctor of Philosophy (Ph.D.) Neuroscience at The Hebrew University of Jerusalem
BA Psychology Literature, BA Psychology Literature at Tel Aviv University
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