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Ahyeon Ryang

Applied Scientist - Biomedical AI

Research Interests

I focus on applying AI to biomedical science. I'm particularly interested in organoid research and how computational methods can contribute to understanding complex biological systems. I value learning from new problems and remain open to how technology continues to reshape our understanding of health and disease.

Education

Chung-Ang University Graduate School, Seoul, Korea

Master of Engineering in Biomedical Engineering (Feb. 2014)

The Catholic University of Korea, Gyeonggi-do, Korea

Bachelor of Engineering in Biotechnology (Feb. 2011)

Work Experience

Apr. 2023 – Nov. 2025

GB SOFT

Seoul, Korea

AI Researcher, Vision Team, R&D Division

Developed deep learning models for BMI and multi-attribute prediction from facial images, and built end-to-end PPG biosignal processing pipelines for both remote and contact-based methods

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Created smartphone-based real-time high-sampling PPG system using rolling shutter mechanism for HR/HRV estimation through signal processing and analysis

Jan. 2017 – Jan. 2022

Ivoclar Vivadent

Seoul, Korea

RA Specialist

Managing medical device regulatory compliance including MFDS registration, K-GMP/ISO 13485 audits, stakeholder communication, and risk monitoring

Mar. 2016 – Dec. 2016

Y.JACOBS MEDICAL

Seoul, Korea

Researcher

Managed regulatory documentation and certifications for medical devices, including international projects and national R&D initiatives​

Nov. 2015 – Jan. 2016

Nanomol

Incheon, Korea

Researcher

Supported ADMET/DMPK research through sample preparation and analytical data processing

Feb. 2014 – Nov. 2015

Chung-Ang University IACF

Seoul, Korea

Researcher, Lab manager

Advanced Biomaterials & Stem Cell Engineering Lab

Developing MSC chondrogenic differentiation systems, gelatin-based growth factor delivery platforms, and PDMS 3D culture devices while managing lab operations and national R&D projects

Honors & Awards

Nov. 2024

Excellence Award (3rd Place), K-MEDICON 2024

ECG Waveform Analysis: Classification of 12-Lead ECG Signals with Artifacts

Developed an AI model for classifying ECG signals with artifacts

Dec. 2022

Encouragement Award (KISTI President's Award), 

2022 Research Data Analysis and Utilization Competition

Establishment of a Sales Prediction System by Industry for COVID-19 Response Policy Development

Developed a long-term sales prediction model to objectively identify Seoul industries where small business sales were expected to decline sharply due to COVID-19

Dec. 2022

5th Place (Top 2%), DACON

Dacon Monthly Speaker Emotion Recognition AI Competition

Developed an emotion classification AI model analyzing speaker, utterances, and conversational context

Nov. 2022

Silver Medal (Top 5%), Kaggle

Feedback Prize - English Language Learning : Evaluating language knowledge of ELL students from grades 8-12​

Developed an AI system to evaluate English learners' essays across six linguistic metrics

Nov. 2022

2nd Place (Top 1.5%), AI CONNECT

Machine Reading Comprehension(MRC) using Book Data

Developed an MRC-based AI model to efficiently search book data and find answers to questions within given passages

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Chung-Ang University, School of Integrative Engineering
84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea​

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Contact | abscelab@gmail.com

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