Ming-Tsung (Louis) Wu | NTU Overseas Internship Program 臺大國際引水人計畫

PERSONAL BIO

Ming-Tsung (Louis) WU is the co-founder and COO at Genenet technology, who specialises in bioinformatic analysis, ncRNA-mediated gene regulation and business development. 7 years of working experience, projects with research centres in Hong Kong, Spain, the UK, and the USA.

WORK EXPERIENCE AND AWARDS

Chairman, National Taiwan University Alumni Association in the UK, UK (2022-present)
Secretary General, UK Taiwanese Chamber of Commerce, UK (2021-present)
Research Associate, Department of Civil and Environmental Engineering, Imperial College London, UK (2021-2022)
BBSRC UK-Taiwan International Partnering Award (2019-2021)
Postdoctoral Research Associate, Department of Plant Science, University of Cambridge, UK (2017-2019)
Postdoctoral Researcher, Institute of Plant and Microbial Biology, Academia Sinica, Taipei (2016)

EDUCATIONAL BACKGROUND

PhD in Plant Sciences, National Taiwan University, Taiwan
Master in Food Science and Biotechnology, National Chung Hsing University, Taiwan
Bachelor in Food Science, Tunghai University, Taiwan

VacancIES

Brief Introduction of the Department

Department Staff Number

Less than 5 people

Internship Job Description

At Genenet Technology, we are building the next-generation platform to turn cells into AI computers by developing cutting-edge technology in the biological domain. We aim to empower other like-minded and passionate individuals to contribute to this mission. We are seeking a Biomedical AI/ML Engineer here to accelerate our design of novel AI solutions for the industry. This person will work alongside our leadership team to directly impact the product development cycle to determine customer needs, brainstorm solutions, and generate novel and scalable AI models tailored for challenging biological problems. We’re looking for someone who is quick, technically strong, and not afraid to ask questions.

Responsibilities:

Take ownership of, design, and implement AI/ML-driven solutions along the entire model development life cycle
Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on a range of biomedical prediction tasks
Deliver robust, tested, and performant code in an agile environment
Liaise with experts in biology, medicine,and experimentation to ensure optimal collection of data to train biomedical machine learning models
Lead early project definition and scoping together with domain experts across the company

Preferred Intern Education Level

Master students
Doctoral students

Preferred Intern Skill Sets or Qualities

Familiarity with medical science-related, quantitative, or engineering discipline (computer science,computational biology, bioinformatics, engineering, among others)
Familiarity with machine learning literature, foundational mathematics and statistics, and state-of-the-art modeling approaches
Previous experience in designing,developing, and delivering robust AIML software solutions, including demonstrated advanced programming expertise in Python
Background or interest in biology or medicine is a plus but not required

Additional Bonus:

Contributions to relevant open-source projects
A record of any scientific publications
Knowledge or interest in disease biology, molecular biology, and medicine
Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)

Internship Period

From June 9 to August 31, 2025 (adjustable at the discretion of the organisation)

Others

Expected working hours per week: 40 hours
Salaries (stipends) will be provided
Benefits will be provided