Summary
Shrey Dixit is a doctoral researcher and software developer based in Hamburg with eight years of experience at the intersection of AI, neuroscience, and web engineering. He builds interpretable machine learning models and clean web applications, having moved from full‑stack and ML internships to research roles at UKE and now the Max Planck Institute for Human Cognitive and Brain Sciences. His background spans production systems—modernizing Java legacy code, maintaining Elasticsearch clusters, and deploying dockerized ML services—to cutting‑edge neuroAI research and computational neuroscience training. Equipped with an MSc in Intelligent Adaptive Systems and a BTech in Computer Science, he combines experimental brain insight with practical deployment skills, often translating neuroscience data needs into scalable software tools. Notably, he has experience generating synthetic labeled data and applying advanced vision models (Mask-RCNN) for neural segmentation, illustrating a rare blend of applied ML and domain-specific research.
7 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Intelligent Adaptive Systems, Master of Science - MS, Intelligent Adaptive Systems at University of Hamburg
Doctor of Philosophy - PhD, Computational and Cognitive Neuroscience, Doctor of Philosophy - PhD, Computational and Cognitive Neuroscience at Max Planck Society
Delhi Public School - Maruti Kunj
Bachelor of Technology - BTech, Computer Science, 8.35/10, Bachelor of Technology - BTech, Computer Science, 8.35/10 at BML Munjal University