KungCV

❖ Biography ❖

Start

In modern society, the integration of information technology and artificial intelligence with various fields of knowledge has gradually become a driving force of innovation. Although my academic background is in the biological sciences, I have always placed great emphasis on cultivating interdisciplinary skills. In addition to my major coursework, I have taken extra classes in programming and information security, and participated in technology-related workshops to strengthen my ability to apply information technologies. I hope to achieve deeper integration across disciplines in the future and explore more innovative possibilities.

College

I completed my undergraduate studies at National Chung Hsing University, where I began my first research project related to bioinformatics. The project applied machine learning methods to analyze and cluster human microbiome data. The results of this work were published in the 18th IEEE International Conference on Bioinformatics and Bioengineering. A subsequent study further explored the relationship between gut microbiota composition and BMI prediction, and the results have been submitted to the International Journal of Uncertainty and Innovation for publication.

Graduated School

After graduation, I entered the Institute of Biomedical Informatics at National Yang Ming University (now National Yang Ming Chiao Tung University) to further strengthen my skills in data analysis and artificial intelligence. During my graduate studies, I focused on Python programming, deep learning, biostatistics, and translational biomedical informatics. I also participated in a summer internship program at the National Institutes of Health (NIH) in the United States, where I further enhanced my problem-solving and programming abilities. This experience also laid the foundation for my master’s thesis, which focused on developing an automated tool for cleaning and analyzing clinical health record data.

Although the system I developed at that time only achieved preliminary improvements in data quality and the conversion of clinical records into machine learning–ready training datasets, the process allowed me to acquire extensive programming experience and deepen my understanding of data analysis concepts and relevant software tools.

Research Assistant

In my first position after graduation as a research assistant in Linkou Chang-Gung Memorial Hospital, I expanded upon my previous research experience by developing a fully automated pipeline for processing and analyzing clinical ICU system data. I also integrated this workflow into a predictive AI model for sudden clinical events, enabling automatic data preprocessing and model prediction. Due to the complex departmental structure within the hospital and the highly confidential nature of clinical data, I was not only responsible for research and analysis but also collaborated closely with physicians and colleagues from different departments to coordinate data integration tasks. This included understanding the data flow of the hospital information system (HIS) and the structural design of internal systems, which allowed me to gain valuable hands-on experience in medical information system integration.

Future

In recent years, the rapid rise of generative AI technologies has transformed how data applications and system designs are conceived, creating numerous opportunities for interdisciplinary collaboration. Building upon my background in biomedical informatics and artificial intelligence, I aspire to continue exploring new directions and challenges that connect technology and life sciences in innovative ways.

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初始

在近代社會發展中，資訊科技乃至 AI 技術與不同領域知識的結合應用，已逐漸成為推動革新的核心力量。雖然我過去所鑽研的專業，是生物相關的科系，但我始終重視著跨領域能力的培養，因此除了本科課程外，還會利用額外時間選修程式語言、資訊安全的課程，並參與資訊技術相關的工作坊，以精進自己資訊技術的應用能力，期望未來能夠達到不同領域的深度整合，以探索更多可能性。

大學

我大學時期就讀國立中興大學，而第一份與生物資訊相關的研究，也是在那時展開，主要是嘗試利用機器學習方法，對人體微菌叢資料（human microbiome data）作分群與分析。而該研究結果已發表在 18th IEEE International Conference on Bioinformatics and Bioengineering 中。後續另一份相似研究，則更進一步著重於腸道菌相種類與 BMI 預測的關係，結果也有提交於 International Journal of Uncertainty and Innovation 進行發表。

研究所

大學畢業後，我選擇進入陽明大學（現陽明交通大學）的生物醫學資訊研究所，持續精進資料分析與人工智慧相關技能，像是 Python 程式設計、深度學習、生物統計、轉譯醫學資訊等，並參與了暑期至美國國家衛生研究院（NIH）的實習計畫，進一步加強自己對問題解決以及程式撰寫的技巧，同時為自己針對臨床醫療紀錄進行自動化清理、分析工具開發為主題的論文研究奠定了基礎。儘管當時的開發成果，仍只能達成初步的資料品質改善，並將臨床紀錄轉換成接近適用於機器學習訓練材料，但我依然在過程學習到不少程式開發技巧與資料分析概念，同時熟悉多種分析相關套件工具的應用。

研究助理

而畢業後的第一份，在林口長庚醫院擔任醫師研究助理的工作中，我也將這些開發經歷進一步發揮，將原先研究概念延伸，建立出一套能自動處理與分析臨床 ICU 系統資料的流程，並進一步將其串接至後續臨床患者突發事件預測 AI 模型的訓練與自動化預測系統。另外，由於院內部門結構與分工複雜，且研究所使用到的醫療紀錄又具高度隱私性，我除了進行臨床資料研究外，也還要隨醫師與工作夥伴們，參與並了解與各部門間的協調與任務串接，包括臨床 HIS 系統的資料流程，以及相關院內系統的結構架接等，進一步累積了實務上的醫療資訊系統整合經驗。

展望

近年因生成式 AI 工具的快速崛起，帶動了各領域在資料應用與系統設計上的思維革新，同時也創造了更多跨領域合作的新契機。未來，我也希望能藉既有的生醫資訊與人工智慧經驗為出發點，持續挑戰更多不同的可能性。

08 Jul, 2020	free5GC Open Source Software Training Course, at NCTU
Jul - Aug 2019	Summer Internship at National Institutes of Health (NIH), US
02 Aug 2019	MIT Hacking Medicine DC Grand Hack 2019, US
07 Jan 2019	Microsoft Azure Machine Learning training, Taichung
27 Sep 2018	2018 CIMS Workshop, at National Yang-Ming University, Taipei
19 Jan 2017	Xamarin Workshops at the Microsoft headquarter, Taipei
05 Dec 2016	Xamarin Workshops at campus, National Chung Hsing University, Taichung
13 Aug 2016	MEAN stack and Mobile website developing, Taichung
30 Jul 2016	Innovative Creativity & Entrepreneurial ship Camp, Taichung
28 May 2016	Open data and Innovative application, Taichung
07 May 2016	Process and tools for Industrial software developing, Taichung