NUS Graduate School for Integrative Sciences and Engineering

GO Mei Lin

Supervisor
Research Areas
Brief Description of Research
1. Information Theory
2. Machine Learning
3. Biomedical Informatics
4. Wireless Networks
5. Internet-of-Things

 

My research lies at the intersection of information theory and data science.  Data science is the science of learning from data (Donoho 2015). Information theory is concerned with the fundamental performance limits of data, i.e., data processing, data communications, and data storage.  Combined with applications to healthcare, transportation, and wireless networks, my research thrusts span many disciplines, from mathematics to statistics to computing to engineering to medicine.