Medical Evolutional Technology Application Laboratory (Metal)
Research Field
Dr. Cheng-Yu Tsai (Momo) has a distinguished track record in the realm of medical technology application. His educational background includes an MSc in Medical Device and Imaging from National Taiwan University, complemented by a BSc in Respiratory Therapy from Taipei Medical University, along with a minor in Electronic Engineering from National Taipei University of Technology. He furthered his education with a PhD in Civil and Environmental Engineering at Imperial College London, backed by the esteemed 2019 Taiwan Key Research Full-funded Scholarship in the Asian Silicon Valley Field. He currently holds the position of Assistant Professor in the School of Biomedical Engineering at Taipei Medical University and fulfils a dual role as an Assistant Professor in the School of Respiratory Therapy. Additionally, he offers his expertise as a Consultant at the Chest Medicine & Sleep Centre at TMU-SHH and at Dr. BreathE, a TMU-affiliated startup company.
Specializing in medical technology and machine learning for disease diagnosis, Momo excels in analyzing complex physiological and medical datasets within collaborative, interdisciplinary research environments. His innovative contributions to healthcare technology include developing models that merge medical knowledge with environmental factors. These advancements, particularly in the realm of wearable sensor applications, have enhanced the role of AI in healthcare, offering new solutions for challenges like driver fatigue detection and disease prediction, thus impacting healthcare practices and patient outcomes.
Professional License:
- Medical Information Manager, Taiwan Association for Medical Informatics, Taiwan
- Registered Pediatric Polysomnographic Technologist (RPSGT ped), BRPT, USA
- Registered Polysomnographic Technologist (RPSGT), BRPT, USA
- Registered Polysomnographic Technologist, Taiwan Society of Sleep Medicine, Taiwan
- Respiratory Therapist, Ministry of Health and Welfare, Taiwan
"METAL", an abbreviation for 'Medical, Evolutional, Technology, Application, Laboratory,' is a collaborative effort of medical professionals and engineers dedicated to advancing healthcare. We address clinical challenges in various fields, including sleep medicine, cardiology, respiratory therapy, chest medicine, general surgery, neurology, nephrology, dentistry, physical medicine, and rehabilitation. Simultaneously, we are also committed to resilience and sustainability, actively addressing the impacts of climate change and pollution within healthcare. We aim to employ smart approaches to tackle patient problems and contribute to the future of healthcare. Are you ready to make a significant impact?
- Applied Machine Learning
- Medical Tech Development
- Sleep & Chest Medicine
- Cognitive Neuroscience
- Environmental Effects
- Transportation Safety
- 2021 Postgraduate Travel Award, Old Centralians' Trust Board
- 2019 Taiwan Key Research Full-funded Scholarship (Asian Silicon Valley Field)
- 2018 Taiwan Government Scholarship to study abroad (GSSA)
- Travel Grant Award for Young Investigators in the 2nd Congress of Asian Society of Sleep Medicine (ASSM, 2018)
- Second place in the 11th Intercoastal Respiratory Therapy and Critical Care Assembly (IRTCCA, 2017)
- Third place in 2017 The Innovation and Entrepreneurship Competition
Best Poster Award in 2016 Joint Conference on Medical Informatics in Taiwan. - First place in 2016 Microsoft Image Cup (represented Taiwan to participate World Wide Finals)
- Second place in 2015 Tic100 Smarter City & IoT Contest
2013 & 2014 Merit Scholarships, JHENG, JYUN-SHENG Social Welfare Charity
- PhD, Department of Civil and Environmental Engineering, Imperial College London, Faculty of Engineering, London, UK
- MSc, Institute of Medical Device and Imaging, National Taiwan University, Taipei City, Taiwan
- BSc, Respiratory Therapy, Taipei Medical University, Taipei City, Taiwan
- Minor Degree, Electronic Engineering, National Taipei University of Technology, Taipei City, Taiwan
2 Vacancies
Job Description
In this pioneering endeavour, our lab seeks to bridge the gap between technological innovation and practical healthcare solutions. We emphasize interdisciplinary collaboration, combining insights from engineering, neuroscience, and clinical practice to develop comprehensive rehabilitation strategies. Our projects range from theoretical research to the development of real-world applications, offering a dynamic learning environment for Visiting Students. By joining our team, you'll have the opportunity to contribute to cutting-edge research that has the potential to revolutionize rehabilitation practices for stroke and chronic pain patients. We encourage applicants from diverse academic backgrounds who share our passion for innovation and the betterment of patient care to apply
Preferred Intern Education Level
Undergraduate to Postgraduate students are all welcome.
Skill sets or Qualities
- Programme
- Data analysis
- Signal processing