Dr. Felix Schneider-Soupiadis

Venture Consultant @ UnternehmerTUM | PhD in Neuroscience | LMU Munich | Graduate School of Systemic Neurosciences | Father of Two | Husband

Munich, Bavaria, Germany

About

Data scientist and technologist with a PhD in Computational & Systems Neuroscience and a strong foundation in physics, life science, and systems engineering. 7+ years of experience in designing and maintaining analytical and hardware-integrated data systems, from raw data ingestion and ML model design to automated pipelines. Driven to turn complex data into actionable insights and real-world impact through rigorous engineering, modeling, and interdisciplinary collaboration.

Experience

  • UnternehmerTUM (München · On-site)
    • EIT Food Hub Operational Lead
      Apr 2026 - Present · 3 mos

    • Venture Consultant
      Mar 2026 - Present · 4 mos

      Venture Consultant & Startup Coach | Deep-Tech & Life Sciences Acceleration & Coaching: Supporting high-growth tracks (U Accelerator, ESA Business Accelerator, EIT Food) focusing on investment readiness, GTM strategy, and product-market fit for B2B tech startups. Venture Scouting: Identifying and evaluating European Deep-Tech startups (Biotech, HealthTech, Sustainability) with a focus on technical scalability and market potential. Strategic Development: Scaling program impact through data-driven methodologies, digital transformation, and rigorous quality assurance. Ecosystem Building: Leveraging the UnternehmerTUM network to connect founders with VC investors, corporate partners, and top-tier talent.

  • Scientific Project Lead / Founding Partner at Project NeoSoma
    Jan 2025 - Jul 2025 · 7 mos

    AI Nation Prototyping Grant | TUM Incubator | Presented work at exhibitions and conferences | Developed & prototyped Hardware & Software for real-time stress and craving detection in addiction patients. Obtained physiological pilot data from 50+ participants. Developed a noise-robust Wavelet-Transform based ECG-algorithm. Real-time HRV dynamics. LOIs with clinics and stakeholders.

  • Ludwig-Maximilians Universität München (Full-time · 5 yrs 4 mos)
    • Research Associate/PhD Candidate in Computational and Experimental Neuroscience
      Oct 2019 - Jan 2025 · 5 yrs 4 mos

      Data Science & ML | Research Engineering | High-throughput Data Acquisition Systems | Databases | in-vivo Experiments | Science Communication | Student Supervision | Scientific Writing | Interdisciplinary Collaboration | Project Lead Cutting-edge scientific research using state-of-the-art experiments, AI and ML to uncover cellular and network-level mechanisms of contextual modulations in the visual system.

    • Vollzeit-Elternschaft
      May 2022 - Nov 2022 · 7 mos

      Parental leave. Primary caregiver for my daughter from 6 months to 12 months of age.

  • Working Student in Klein Lab / Neural Networks of Emotional Processing at Max-Planck-Institut für biologische Intelligenz
    Mar 2017 - Apr 2018 · 1 yr 2 mos

  • Gefreiter/Private | Elite Alpine Infantry at Österreichisches Bundesheer (Austrian Armed Forces)
    Oct 2012 - Apr 2013 · 7 mos

    Military training & service in one of the elite troops of the Austrian Armed Forces.