Summary
Mayar Ali is a deep learning researcher based in Munich with 11 years of experience at the intersection of machine learning, computational biology and neuroscience. She completed advanced training in computational neuroscience and is finishing a PhD in Systemic Neuroscience, bringing rigorous research methods to applied ML problems. Her career spans academic research roles at Helmholtz and LMU, industry positions building data and ML systems at startups and enterprise teams, and recent work developing deep learning solutions at DeepLife. Mayar combines quantitative modeling, data engineering, and domain knowledge in biology to translate complex datasets into actionable insights—an approach shown by simultaneous roles in computational biology and doctoral research. She is driven by a clear mission to use data for positive impact, pairing deep technical expertise with a pragmatic focus on real-world applications.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Systemic Neuroscience, Doctor of Philosophy - PhD, Systemic Neuroscience at Ludwig-Maximilians-Universität München
Master of Science - MSc, Computational Neuroscience, Master of Science - MSc, Computational Neuroscience at Humboldt-Universität zu Berlin
Master's degree, Computational Neuroscience, Master's degree, Computational Neuroscience at Bernstein Center for Computational Neuroscience
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at The German University in Cairo
Master of Science - MSc, Computational Neuroscience, Master of Science - MSc, Computational Neuroscience at Technische Universität Berlin
Bachelor Thesis, Human Computer Interaction, 1,0 (German System), Bachelor Thesis, Human Computer Interaction, 1,0 (German System) at Duale Hochschule Baden-Württemberg (DHBW) Mosbach
English, Arabic, German