陳冠諭 KuanYu CHEN

JOB TITLE

Founder & CEO

DEPARTMENT

AcuSense BioMedical Technology/Business Department

INSTRUCTION LANGUAGES

Mandarin
English

AcuSense BioMedical Technology

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PERSONAL BIO

Kuanyu Chen possesses over 18 years of experience spanning the technology industry and academic research. His career trajectory began in engineering and project management, progressively evolved through industry–academia collaboration, and ultimately culminated in the founding and management of his own biomedical technology company.
His expertise is rooted in integrating cross-disciplinary resources, managing complex projects, and effectively translating technology into commercially viable solutions with strong market potential. He has successfully guided his company through prestigious international accelerator programs and rigorous national-level project evaluations.
Kuanyu Chen firmly believes that the success of a biomedical startup hinges not only on technological innovation but also on precise market positioning and effective business strategy. He focuses on optimizing the entire value chain—from product development and market expansion to customer engagement—thereby ensuring that technology and business value are seamlessly integrated to create scalable, long-term success.

WORK EXPERIENCE AND AWARDS

【Work Experience】

Founder & CEO, Acusense Biomedical Technology, Taiwan (2017 - present)
Project Researcher, Medical Device Innovation Center, National Cheng Kung University, Taiwan (2014 - 2016)
Manager, Office of Academia Research & Industry Collaboration, Southern Taiwan University of Science and Technology, Taiwan (2013 - 2014)
Special Assistant, Taili Rubber, Taiwan (2012-2013)
Project Manager, Chilin Technology, Taiwan (2006 - 2012)
Senior Engineer, Sintek, Taiwan (2006)

【Achievements】

Selected for Caelestinus Healthtech Incubator, Caelestinus, Czech Republic (2023)
Top 10 Teams in Qualcomm Innovate in Taiwan Challenge, Qualcomm Technologies (2021)
16th National Innovation Award, Institute for Biotechnology and Medicine Industry, Taiwan (2019)
Entrepreneurship Potential Award, From IP to IPO Program, Taiwan (2015)

EDUCATIONAL BACKGROUND

Master in Business Administration, National Cheng Kung University, Taiwan
Master in Computer & Information Systems, University of Detroit Mercy, USA

Job Positions

Co-Supervisor Information

PengHsiang Shih

石鵬翔

Institution

Acusense

Division/Department

Research and Development Department

Job Title

Project Lead

Brief Introduction of the Department

【Research and Development Department】

The core mission of the R&D Department is to deliver end-to-end AI products with immediate operational capability, ensuring that every stage—from data analysis and model deployment to user experience—precisely aligns with clients’ strategic objectives and integrates technological innovation with business value.
In terms of core functions, the department has established a complete technical implementation loop that spans from data to deployment. First, it employs Python as the primary tool for data cleansing, laying the groundwork for subsequent model training. Building on this foundation, the team develops and optimizes a range of machine learning models, particularly for natural language processing (NLP) applications such as AI chatbots. Second, the department focuses on full-stack application development and productization, using JavaScript to create interactive web interfaces that transform technical capabilities into tangible, user-oriented products. Finally, in system integration and deployment, the department delivers solutions across both cloud and on-premises environments. Team members are proficient in configuring Linux operating systems and managing server setup, network planning, and data integration to ensure stable, secure deployment within client-specified environments.
Distinct from purely technical R&D teams, the department’s strength lies in its ability to translate and integrate client requirements. Its members are not just engineers—they combine technical expertise with business insight. The team works directly with clients to identify business pain points and convert them into clear technical specifications. By maintaining a strong understanding of clients’ organizational structures and decision-making processes, the department ensures that development directions consistently align with business goals and deliver measurable value.

Department Staff Number

- Less than 5 people

Internship Job Description

- Use Python to clean and preprocess raw client data, ensuring data quality and consistency.
- Perform feature engineering to construct datasets suitable for AI model training.
- Assist in testing and evaluating the performance of natural language processing (NLP) models.
- Design test cases and conduct systematic evaluations to improve model accuracy and dialogue fluency.
- Contribute to improving and maintaining the front-end user interface.
- Utilize JavaScript and related frameworks to enhance visual presentation, interactivity, and user experience.
- Participate in client requirement discussions and help translate business needs into technical specifications.

Preferred Intern Education Level

- Undergraduate students (third year and above)
- Master students

Preferred Intern Skill Sets or Qualities

- Proficiency in Python for data cleansing and feature engineering, with practical experience in relevant libraries (e.g., pandas, NumPy).
- Solid skills in JavaScript and related front-end frameworks (e.g., React, Vue.js) for developing and refining user interfaces.
- Foundational knowledge and experience in the testing and evaluation pipelines for machine learning and natural language processing models.
- Strong translation ability to accurately interpret business requirements and convert them into concrete, actionable technical specifications.
- Product-oriented mindset with a strong sensitivity to user experience.
- Familiarity with the end-to-end product delivery lifecycle, with the ability to integrate effectively into a team and contribute to key stages.
- Meticulous attention to data quality and model performance, demonstrating a strong commitment to excellence.
- Effective cross-functional communication skills, capable of articulating technical concepts and challenges clearly.
- Business acumen and the ability to understand underlying business value and impact.

Others

- Expected working hours per week: 30+
- Salary/Financial Support not provided
- Additional Benefits: Accommodation allowance