Experience

  1. Teaching Assistant, Developing Digital Biomarkers

    ETH Zürich

    Responsibilities include:

    • Set up study devices and ensure students’ data collection runs smoothly
    • Design tutorials and coding tasks
    • Grade students’ tutorials

  2. Working student, Automated Logistic Robot System in a Warehouse

    Fraunhofer Institute IGCV (Germany)

    Responsibilities include:

    • Simulation for navigation under TCP connection with ROS
    • Object identification training with YOLO
    • Robot manipulation simulation

  3. Intern, E-Mobility

    ECARus, TU Munich (Germany)

    Responsibilities include:

    • Design of a communication system between different modules within vehicle with TCP and UDP
    • Embedded board Atmel SAMV71, real-time operating system (RTOS)

  4. Working Student, Support DSS R&D

    Infineon Technologies, Munich (Germany)

    Responsibilities include:

    • Revision of the DSS R&D academy
    • Support for R&D budget forecasts

Education

  1. PhD in Applied machine learning

    ETH Zürich

    I focus on developing biological and digital biomarkers in health diagnostics, monitoring and prognostics utilizing machine learning. I manage the full research lifecycle—from study design and data collection to model development and manuscript writing. I led the following projects:

    • Voice-Based Prognostics for Heart Failure.
    • Circadian Rhythm Monitoring using Commercial Wearables.
    • Cerebrospinal Fluid Diagnostics.

    My responsibilities encompass designing studies, developing mobile apps and web servers, conducting studies, collecting data, data analysis including signal processing and machine learning implementation

  2. Visiting Researcher in Acoustic

    Harvard Medical School & Massachusetts General Hospital
    Acoustic engineering, acoustic signal processing, acoustic feature extraction and selection.

  3. MSc Electrical engineering and information technology

    Technical University Munich
    Thesis on Vision-based Risk Quantification on E-bikes for Urban Cycling at the Computer Vision Lab, ETH Zurich. Check more details in my Projects.

  4. BSc Electrical engineering and its automation

    North China Electric Power University
Scholarships & Awards
ETH Zurich Doc.Mobility Fellowship
ETH Zurich, Switzerland ∙ Present
Swiss-European Mobility Programme Fellowship
TU Munich, Germany ∙ Present
Deutschlandstipendium Scholarship
Federal Ministry of Education and Research and Karl Max von Bauernfeind-Verein, Germany ∙ Present
E-fellows Scholarship
E-fellows, Germany ∙ Present
Rohde und Schwarz Global Engineering Competition
Rohde und Schwarz, Munich, Germany ∙ June 2019
Competition Topic is “Development and Improvement of a Machine Learning algorithm to optimize the streaming content via a 5G Broadcast Network”. Our team “Signal Power Rangers” won 2nd price.
Mathematical Contest in Modeling (MCM)
COMAP, US ∙ January 2017
Our team won Honorable Mention.