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Goh Wilson Wen Bin
Assistant Chair (Students)
School of Biological Sciences
College of Science

Wilson Wen Bin Goh leads the BioData Science and Education laboratory at the School of Biological Sciences, Nanyang Technological University. He graduated with his PhD (Bioinformatics/Computational Systems Biology) in 2014. Prior to joining NTU in 2017, served as an Associate Professor in Tianjin University China and a visiting professor in School of Computing, National University of Singapore.


Research Statement

My research interests include themes in resolving practice-theory gaps in statistics and machine learning, computational biology with focus on mass spectra analysis and network theory, and in education technology supporting experiential and (human) deep learning.

Research One-liner

I use data science and statistical techniques in solving complex problems in health and education.

  1. **Ho SY, Wong L, Goh WWB. Avoid oversimplifications in machine learning: Going beyond the class-prediction accuracy. Patterns (Cellpress), Accepted
  2. Goh WWB, Sze CC. AI paradigms for teaching biotechnology. Trends in Biotechnology, 37(1): 1-5, Jan 2019 ##
  3. **Goh WWB, Zhao Y, Sue ACH, Guo T, Wong LS. Proteomic investigation of intra-tumor heterogeneity using network-based contextualizations, Journal of Proteomics, 30(206):103446, Jul 2019 #

For 1., this is the first paper in our latest foray examining technical issues on validation problems in machine learning. 2. is a call-to-arms stating that with more advanced technologies, education also needs to move forward to making people “smarter”. 3. is an innovative strategy using complexity theory to re-examine cancer in terms of networks—producing higher levels of reproducibility in results while also suggesting much of the so-called heterogeneity is noise.

Latest Projects
2020 – 2022 Recovering missing proteins based on biological complexes
2019 – 2021 Identify essential genes to construct a functional unfolded protein response programme using synthetic biology, 2019-2021
2019 –2021 Evaluating the Clinical Utility of Immune Phenotypes in Schizophrenia
2019-2022 Characterising the Anti-Aging role of the UPR from High Glucose Diet
2019 – 2021 Design and development of digital coaching environment for Deeper Experiential Engagement Projects: co-evolution of education with Artificial Intelligence
Advice to young researchers

The learning never stops.

Other affiliation(s)

Director for Masters Programmes, School of Biological Sciences, College of Science

Expert Areas
Bioinformatics, Biostatistics, Data Science, Machine Learning, Network Theory

Research Interests
Education, Experiential Learning, HealthTech, MedTech

Research Category
Engineering & Technology
Research Sub-category
Computer Science and Engineering
Affiliated Sustainable Development Goals
GOAL 3: GOOD HEALTH AND WELL-BEING – Ensuring healthy lives and promoting the well-being for all at all ages is essential to sustainable development.
GOAL 4: QUALITY EDUCATION – Obtaining a quality education is the foundation to improving people’s lives and sustainable development.
GOAL 9: INDUSTRY, INNOVATION, AND INFRASTRUCTURE – Investments in infrastructure are crucial to achieving sustainable development.
The Sustainable Development Goals (SDGs), also known as the Global Goals, were adopted by all United Nations Member States in 2015 as a universal call to action to end poverty, protect the planet and ensure that all people enjoy peace and prosperity by 2030.
Last Updated
28 Apr 2020
Last Updated
13 Sep 2020