呂顥天 Ted Lu
Student at AS IBMS | Research Assistant at NTU CSIE | High School Freshman at T-School
I am Ted Lu, a 15-year-old student with high interest in computer science and biomedicine from New Taipei, Taiwan. I am looking for opportunities to explore more on medical informatics and computer vision.
With the high ability of self learning, I've practiced several skills and abilities among the field of computer informatics., and participated in several research projects. My recent studies focus on medical image analysis, imaging modalities including MRI, CT, EEG, X-ray, OCT, etc., and diseases such as brain tumor, multiple sclerosis, schizophrenia, Alzheimer's and more.
I have quite a few experiences in hardware development, including sensor engineering and wireless communication. My studies during 2018-2020 were focused on ESP8266/ESP32 communication frameworks, edge computing system optimization, etc. The experience enables me with the ability to use various programming languages and systems such as Python, C/C++, JavaScript, Linux and DBMS, etc.
During my spare time, I also participate in several open source communities such as g0v.tw, CourseAPI, Sch001, etc., where I bring the ability of issue analysis and project management into various open source projects.
Appier 沛星互動科技
Taipei Digital Experimental High School (T-school)
Taipei, 台灣
专业背景
- 目前状态就学中・目前没有兴趣寻找新的机会
- 专业数据科学家・生物技术研究员・机器学习工程师
- 产业人工智能 / 机器学习・物联网／IoT・医疗器材
- 工作年资4 到 6 年 (2 到 4 年相关工作经验)
- 管理经历我有管理 15 人以上的经验
- 技能
- 语言能力Chinese・母语或双语English・专业Spanish・中阶
- 最高学历高中职
求职偏好
- 预期工作模式Intern・对远端工作有兴趣
- 希望获得的职位Biomedical science research and development
- 期望的工作地点Taiwan
- 接案服务不提供接案服务
工作经验
Scientist Intern
台灣台北市
- Re-implementation of generative AI methods and imaging analysis algorithms.
- Conducted in-depth research to assess the feasibility of integrating re-implemented methods into marketing products.
- Collaborate with data scientist team to develop proof-of-concept demos, demonstrating the potential of the re-implemented methods as valuable additions to the company's marketing services.
Research Student
台灣台北
N123 Lab, Institute of Biomedical Sciences
- Proficiently conducted data science and in-depth analysis of magnetic resonance imaging (MRI) data, with a specific focus on brain connectome research.
- Development of cutting-edge analysis software, and cloud computing infrastructure deployment to optimize data storage and accessibility.
- Actively engaged in advanced studies encompassing neuroimaging, biomedical sciences, and neurosciences, consistently staying abreast of the latest research and breakthroughs in these fields.
Research Assistant
台灣台北市
Department of Computer Science & Information Engineering (Dr. Jie-Fan Chang Lab)
- Actively participated in research projects upon developing advanced algorithms for medical image analysis, specializing in neuroimaging scans.
- Conducted experiments to optimize machine learning and deep learning models, notably improving accuracy and efficiency through techniques such as hyperparameter tuning, model design, and data augmentation.
- Proficiently preprocessed and augmented medical imaging datasets to bolster model robustness, employing methods such as image normalization, noise reduction, and data augmentation to ensure high-quality input data.
Founder & Data Engineer
台灣
- Led a team to successfully develop and launch the CourseAPI platform, streamlining course information and accessibility.
- Developed efficient data scraper tools, automating data collection and analysis processes.
- Conducted regular maintenance to ensure the CourseAPI platform's optimal performance and data accuracy.
- Conducted in-depth analysis of issues related to open educational resources and open source education.
学历
High School Diploma
・
Biomedical Science
High School Diploma
・
Gifted and Talented Education Program in Science & Mathematics