Since 2016 - Now
Ph.D. Candidate at ETH Zurich
Research on Applied Artificial Intelligence in Emerging Health Information System at ETH Zürich.
2014 - 16
Researcher in Computer Aided Medical Procedures
Working on Marker-based Tracking Algorithms for Medical Applications at TU Munich.
2012 - 15
Technical University of Munich: Master's Degree
Major in Computer Science. Focus on Computer Vision, Biomedical Imaging and Visualisation.
California State University Sacramento: Exchange Fellow
University Scholarship for Studying Abroad.
Tamkang University Taiwan: Bachelor's Degree
Major in Computer Science. Research in Computer Vision and Medical Applications. Graduated as Valedictorian.


Design and Evaluation of a Mobile Chat App for the Open Source Behavioral Health Intervention Platform MobileCoach
The open source platform MobileCoach ( has been used for various behavioral health interventions in the public health context. However, so far, MobileCoach is limited to text message-based interactions. That is, participants use error-prone and laborious text-input fields and have to bear the SMS costs. Moreover, MobileCoach does not provide a dedicated chat channel for individual requests beyond the processing capabilities of its chatbot. ...
Tobias Kowatsch, Dirk Volland, Iris Shih et al.
Designing the Digital Transformation. DESRIST 2017
Towards The Design of a Smartphone-Based Biofeedback Breathing Training: Identifying Diaphragmatic Breathing Patterns from a Smartphone’s Microphone
Asthma, diabetes, hypertension, or major depression are non-communicable diseases (NCDs) and impose a major burden on global health. Stress is linked to both the causes and consequences of NCDs and it has been shown that biofeedback-based breathing trainings (BBTs) are effective in coping with stress. Here, diaphragmatic breathing, i.e. deep abdominal breathing, belongs to the most distinguished breathing techniques. However, high costs and low scalability of state-of-the-art BBTs that require expensive medical hardware and health professionals, represent a significant barrier for their widespread adoption. Health information technology has the potential to address this important practical problem. . ...
Iris Shih et al.
Mediterranean Conference on Information Systems (MCIS) 2016
Inside-Out Tracking for Flexible Hand-held Nuclear Tomographic Imaging
Tracking systems are used in many medical scenarios for the localization of devices or the patient, for example in intra-operative nuclear imaging. The infrared tracking system commonly used for this purpose is outside-in and often suffers from line of sight issues. To alleviate these, we present the combination of an inside-out tracking technique with a hand-held mini gamma camera and an image reconstruction pipeline to provide 3D SPECT-like images in a compact flexible setup suitable for interventions. As a proof-of-concept we show first results on phantoms mimicking common nuclear medicine procedures, sentinel lymph node biopsy in thyroid and breast cancer. ...
Philipp Matthies, Chen-Hsuan(Iris) Shih, Jakob Vogel, Álvaro Sánchez, Tobias Lasser, Benjamin Frisch, Michael Friebe, Nassir Navab
MICCAI 2015, submitted
Anatomy of BioJS, an open source community for the life sciences
BioJS is an open source software project that develops visualization tools for different types of biological data. Here we report on the factors that influenced the growth of the BioJS user and developer community, and outline our strategy for building on this growth. The lessons we have learned on BioJS may also be relevant to other open source software projects
G. Yachdav, T. Goldberg, S. Wilzbach, D. Dao, I. Shih et al.
eLife 2015

Independent Projects

BioJS is a community-based standard and repository of functional components to represent biological information on the web.
Deep Learning in Action
Deep Learning in Action is a regular speaker series in Munich with 350+ participants about Machine Learning (especially Deep Learning).