Summary
Mohammad Bashiri is a Senior Data Scientist with eight years of experience blending computational neuroscience and machine learning, now applying that expertise to data-driven diagnostics at Noselab. He completed a PhD working with Fabian Sinz on deep neural networks, latent variable models, and implicit neural representations to probe visual sensory processing, after earning an MS in Neuroengineering from TU Munich and a BEng in Electrical and Electronics Engineering. His background spans academic research and teaching roles across Tübingen, Göttingen, and Bonn, plus early industry R&D in electronics, giving him a rare mix of theoretical rigor and practical systems experience. At Noselab he translates advanced models into clinical-grade biomarker detection tools, demonstrating an ability to move innovations from lab prototypes toward real-world medical impact. A detail often overlooked: he combines neuroscience-grade experimental insight with hands-on engineering, enabling both interpretable models and deployable pipelines.
8 years of coding experience
High School, Mathematics and Physics, 19.15/20, High School, Mathematics and Physics, 19.15/20 at National Organization for Development of Exceptional Talents (NODET)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Tübingen
Master of Science - MS, Neuroengineering, 1.3/1.0, Master of Science - MS, Neuroengineering, 1.3/1.0 at Technical University Munich
Bachelor’s Degree, Electrical and Electronics Engineering, 3.79/4.00, Bachelor’s Degree, Electrical and Electronics Engineering, 3.79/4.00 at Universiti Teknologi Petronas
High School, Mathematics, Physics, and Chemistry, A, C, C, High School, Mathematics, Physics, and Chemistry, A, C, C at Sayfol International School
Persian, English, German