# Bo-Yen Chang

> AI MedTech & Software | NATEA-SV Board of Directors | Berkeley Alum | Former Founder

Location: San Francisco, California, United States
Profile: https://flows.cv/boyen

AI & Biomedical Engineer | HealthTech | Machine Learning & Biosensor R&D

I specialize in AI-driven diagnostics and biosensor innovation for healthcare, with expertise in machine learning and deep learning applications. My experience includes EEG-based coma recovery research at UCSF, medical device development at Hologic & Medtronic, and biosensor R&D. I have two first-author publications and have received the National Innovation Award and the MOST Future Tech Award. Additionally, I am the co-inventor of a USPTO-pending AI-based diagnostic patent.

I co-founded an AI startup, which was government-funded and recognized by TSMC, where I developed an AI-powered text-visualization platform. I am proficient in Python, C++, and C#, with expertise in solution-based software development. My cross-disciplinary background integrates AI, biomedical engineering, and medical device innovation.

Fluent in English and Mandarin, with extensive experience across the US and Asia in multidisciplinary teams. Currently serving as a Board Director at NATEA, supporting Taiwan and the US’s tech and innovation ecosystem. 

📩 Contact: changboyen@berkeley.edu

## Work Experience
### Software Engineer – Algorithms @ Heartflow
Jan 2025 – Present | San Francisco Bay Area
Honored to contribute to AI cardiovascular diagnostics!

### System Software V&V Engineer @ Hologic, Inc.
Jan 2024 – Jan 2025 | San Diego, California, United States
．Developed automated validation protocols using C# for Panther system software, streamlining validation workflows and enhancing release efficiency.
．Designed and executed software V&V test cases for Panther system, ensuring seamless LIS integration and compliance with FDA, ISO 13485 regulations.

### Machine Learning R&D Engineer – EEG & Biosignal Processing @ UCSF Health
Jan 2023 – Jan 2024 | San Francisco Bay Area
Graduate Capstone project | Collab. with UCSF, Advisor: Edilberto Amorim 

．Extracted and analyzed burst suppression features from terabytes of EEG data, applying machine learning models to predict coma recovery outcomes (CPC scores).
．Developed logistic regression models on 5M+ clinical records to predict coma recovery (CPC scores), identifying key prognostic factors using SHAP analysis.
．Performed feature clustering using UMAP & PaCMAP, improving visualization of EEG burst patterns correlated with coma recovery prognosis.

### Founding ML Engineer & CEO @ WackO_Ltd.
Jan 2021 – Jan 2023
Secured Government Funding | Top15/122, National TSMC Innovation Plan | YEF 1st

．Led and managed a cross-functional team (3 engineers & UI/UX designers) in the agile development of PLOGIN, a text-visualization platform prototyped since the 2021 YEF competition.
．Developed BERT-based model modifications with self-engineered text-to-graph algorithms, trained on 1M+ text data. Achieved 80%+ comprehension in graduate-level reasoning and text structuring through rigorous benchmarking.
．Designed and implemented automated text-analytics tools aligned with market needs, integrating Figma, ReactJS, and Django for an optimized user experience.

### Software Development Engineer – Healthcare AI @ Ministry of Health and Welfare Shuang-Ho Hospital
Jan 2021 – Jan 2023
The Blood Capillary Refill Time (CRT) project (AI Clinical Program)
Supervisors : Prof. Chun-Yen Lin and Dr. Kai-Sheng Hsieh  (Under Patent Review)

．Collaborated with Shuang-Ho Hospital to develop an AI/ML solution model that resolved clinical issues.
．Trained a hand gesture recognition machine learning model and visualized the results of the CRT value.

### Researcher – Biosensors & Optical Diagnostics @ Taipei Medical University
Jan 2020 – Jan 2023 | Taipei, Taipei City, Taiwan
Biosensor and Image Processing Laboratory | Advisor: Prof. Yu-Cheng Hsiao (World’s Top 2% Scientists)

． Conducted research on cholesteric liquid crystal (CLC) biosensors, integrating optical diagnostics and AI-driven image analysis for label-free disease detection.
． Developed a portable, paper-based biosensor for myocardial infarction (AMI) detection, leveraging spectral analysis and smartphone compatibility for point-of-care diagnostics.
． Designed and implemented custom image processing algorithms, improving biosensor accuracy through color-indicating paper display technology.
． Published first-author papers in peer-reviewed journals (See Publications section for details).
． Received multiple national research and innovation awards, including the National Innovation Award and Taiwan’s most prestigious student research grant (Top 0.1% out of 20,000+ applicants, MOST) (See Awards section for details).

### Healthcare Informatics Intern @ Medtronic
Jan 2022 – Jan 2022 | Taipei, Taipei City, Taiwan
．Led digital transformation efforts in the HIS system, streamlining patient referrals for Micra pacemakers and dialysis patients.
．Developed Python-based data visualization tools for sales analytics, driving 3+ data-backed marketing strategies to enhance customer engagement.
．Conducted comparative analysis on Smart-Sync vs. 2090-Programmer, optimizing cost, portability, and interoperability to support hospital adoption of new pacemaker programming systems.
．Evaluated FHIR and CDAR2 data exchange standards, identifying compliance gaps and interoperability challenges for cloud-based EHR integration.

### Clinical Engineering Intern – Cardiovascular @ Taipei City Hospital
Jan 2022 – Jan 2022 | Taipei, Taipei City, Taiwan
Supervisor: Dr. Shuo-Ju Chiang

．Observed and analyzed medical procedures across multiple departments, including cardiology, radiology, neurology, gastroenterology, and rehabilitation medicine.
．Assisted in clinical rounds and engaged in discussions with physicians on medical device applications, diagnostic imaging, and treatment strategies.
．Presented research seminars on AI applications in cardiovascular diagnostics and medical device innovations for healthcare professionals.
．Evaluated medical technologies such as Doppler ultrasound, cardiac catheterization, CT/MRI imaging, EEG, and robotic rehabilitation systems, identifying key clinical pain points.
．Explored opportunities for AI-driven solutions to enhance diagnostic accuracy and clinical decision support in hospital settings.


## Education
### Master's Degree in Bioengineering and Biomedical Engineering
University of California, Berkeley

### Master's Degree in Biomedical Electronics and Bioinformatics (Early Enrollment)
National Taiwan University

### Bachelor's Degree in Biomedical Engineering (Early Graduation)
Taipei Medical University


## Contact & Social
- LinkedIn: https://linkedin.com/in/bo-yen-chang

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Source: https://flows.cv/boyen
JSON Resume: https://flows.cv/boyen/resume.json
Last updated: 2026-04-11