Experience

  1. AI Healthcare Lead (PostDoc)

    ETH Zürich, Agentic Systems Lab

    Responsibilities include:

    • Leading development of multimodal foundation models that combine LLMs with physiological signals (e.g., audio) for clinical decision support and disease reasoning
    • Established a multi-institution collaboration between ETH Zürich, Harvard, Stanford, and University Hospital Zürich to develop next-generation multimodal clinical AI using wearable, imaging, and multi-omics data

  2. 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

  3. Student Researcher, 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

  4. Student Researcher

    Technical University of Munich, Institute for Cognitive Systems (Germany)

    Responsibilities include:

    • Service Robot: navigation (SLAM), robot manipulation (MoveIt), object identification (YOLO)
    • Robot movement with mind: SSVEP-based brain computer interface, EEG processing and classification
    • Sound localization with head movement: sensor perception and actuator design, ADC, PWM signal generation

  5. 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)

  6. 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. Dr.Sc. Applied Computer Science

    ETH Zürich

    Thesis: Leveraging Machine Learning for Developing Biological and Digital Biomarkers: Studies in Neurological Disorder Diagnostics, Circadian Rhythm Monitoring, and Heart Failure Prognostics (doi: 10.3929/ethz-c-000788069).

    I focused on developing biological and digital biomarkers in health diagnostics, monitoring, and prognostics utilizing machine learning. I managed 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.
    • Neurological Diagnostics from multi-omics data.
    • GeHirNet, a sex-aware hierarchical model for voice pathology classification.

    My responsibilities encompassed designing studies, developing mobile apps and web servers, conducting studies, collecting data, and data analysis including signal processing and ML implementation.

  2. Visiting Researcher in Audio AI

    Harvard Medical School & Massachusetts General Hospital
    Developed a multimodal explainable AI pipeline integrating audio, physiological signals, and patient-reported data for heart failure deterioration prediction. Identified novel vocal biomarkers associated with cardiac deterioration, improving predictive performance.

  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.