Data Science Lab

Important news (Invited talks)

　 　 　　 　　 　　 　 　 　 　 　 　　 　　 　　 　 　 　 　 　 　　 　　 　　 　 　 　 　 　 　　 　　 　　 　 　 　 　 　 　　 　　 　　 　 　 　 　 　 　　 　　 　　 　 　 　 　 　 　　 　　 　　 　 　 　 　 　 　　 　　 　　 　 　 　 　 　　 　　 　　 　 　 　

Date	Event	Link
2023/11/23	The "Artificial Intelligence System for Electrocardiograms" developed by this team has been honored with the Excellent Award in the "genius for home" competition funded by Mediatek.	News link
2023/09/15	The "Artificial Intelligence System for Electrocardiograms" developed by this team has been honored with the Gold Award in the Taipei Biotech Awards [Cross-Domain Category].	News link
2023/08/01	The "Artificial Intelligence System for Electrocardiograms" technology developed by this team has been transferred to Quanta.	News link
2023/01/12	The "Artificial Intelligence System for Electrocardiograms" developed by this team has been honored with the Gold Award in the National Healthcare Quality Awards [Smart Healthcare Category].	Award link
2022/10/15	Dr. Lin, the director of the research laboratory, has been honored with the National Future Technology Award by the National Science Council.	Award link
2022/05/03	The "Hypokalemia Detection System" developed by this team has been awarded the Gold Seal of National Quality [Medical Institution Category] by SNQ	Related information
2020/12/01	This team has been recognized as the National Startup Rising Star of the year and presented at the National Startup Awards ceremony.	News link
2020/10/19	Dr. Lin, the director of the research laboratory, has been interviewed by the Discovery Channel.	Vedio link

Researches

We hope to improve the quality of medical services and reduce labor costs through algorithmic research, and empower the general public to use our researches. This laboratory has the computing resources including 21 NVIDIA® Tesla® series GPU. We provide an integrated development environment of RStudio Server Pro on our own server, you only need to connect with a browser without any local resources. Moreover, you also can develop web applications and publish to our Shiny Server.

Work with us

Current members:


Past members:



We believe that having a diverse and inclusive team will help us to advance AI, for the betterment of human life. We value different viewpoints. All backgrounds, ideas, and perspectives are welcome.
By working with our group, you will:
Work on important problems in healthcare domain using AI.
Build and deploy machine learning / deep learning algorithms and applications.
Values:
Here are some values that we would like to see in you:
1. Hard work: We expect you to have a strong work ethic. We love our work and are passionate about the AI mission. We also value velocity, and like people that get things done quickly.
2. Flexibility: You should be willing to dive into different facets of a project. For example, besides developing machine learning algorithms, you may also need to work on data acquisition, conduct user interviews, or do frontend engineering. This may also require going outside your comfort zone, and learning to do new tasks in which you’re not an expert.
3. Learning: You should have a strong growth mindset, and want to learn continuously. This can involve reading books, taking coursework, talking to experts, or re-implementing research papers. We will also prioritize your learning and help point you in the right direction; but you need to put in the work to take advantage of this.
4. Teamwork: We work together in small teams. You are expected to support and collaborate with others; in turn you will also receive support from your teammates.
Prerequisites:
You should have a public health background or a software engineering background:
1. Public health background: You are professional in biostatistics and epidemiology, and like to learn programming. Previous ML/AI research experience would be a plus but is not required.
2. Software engineering background: We also encourage engineers without much AI background who are interested in developing ML applications to apply. Applicants should have made significant contributions to software projects in the past, for example through developing software systems at a company or through significant open source contributions.
Applying:
Please see below for how to apply to work with our group. The scholarship is only provided for students with outstanding performance at the related courses.
PhD students:
You should apply to graduate institute of life sciences at NDMC, and email us at xup6fup0629@gmail.com to arrange an interview time. The only acceptable research topic is algorithm development. We will provide a scholarship of NTD 28,000-45,000/mon accroding to your capability.
MS students:
You should apply to school of public health at NDMC, and participate our research projects in a co-directed way. We will provide a scholarship of NTD 8,000-20,000/mon accroding to the work content.
Other students:
We only provide the opportunity of internship without scholarship. Outside of coursework, we expect this to be your primary academic activity. As it takes time to familiarize oneself with a research project and to make significant contributions, we expect that students will be involved for at least one semester, with a strong preference for those who can potentially stay involved for the full year.
Engineer:
Currently, we only accept the data engineer with sufficient experience to apply our position, and there is no position for algorithm engineers. The salary is ranged NTD 650,000-900,000/year accroding to your position. We will evaluate your work performance to adjust your position and salary each quarter. Please email us xup6fup0629@gmail.com with your resume and two paragraphs on why you’d like to get involved.
Research assistant:
The research assistant don't need the programing background. The work content included general administration and IRB application. The full-time salary is ranged NTD 32,000-50,000/mon and the part-time salary is ranged NTD 10,000-20,000/mon accroding to your work content. Please email us xup6fup0629@gmail.com with your resume, a strong preference for those who want to be an engineer.