Mathematics and Physics

Dr. Wu Yilin received her Ph.D. in Mathematics from Temple University in Philadelphia. Her research interests and skills include mathematical modeling, data analysis, machine learning, and deep learning.

Prior to joining DigiPen (Singapore), Yilin taught at Temple University’s campuses in Philadelphia, U.S., and Tokyo. In addition to her higher education experience, she has also taught online courses.

With her passion for teaching, Yilin welcomes collaborations and challenges herself to work with all students and colleagues on various interesting math-related projects.

Selected Publications

• Y. Wu, I. Klapper, and P.S. Stewart, “Hypoxia arising from concerted oxygen consumption by neutrophils and microorganisms in biofilms.” Pathogens and Disease 76.4 (2018): fty043.
• Y. Wu, “Mathematical Models of Biofilm in Various Environments.” Diss. Temple University, 2019.

Rosa Paulina Anajao received her Master of Science in Physics from University of Waterloo and is a recipient of the Perimeter Scholars International scholarship from Perimeter Institute for Theoretical Physics. She also received her Master of Science in Mathematical Physics from University of Alberta, where her research focused on the applications of computational algebraic geometry to string theory.

Before joining DigiPen (Singapore), she trained Singapore students for various international mathematics competitions. Rosa has published books about problem-solving strategies for mathematical contests, puzzles, and games. At DigiPen (Singapore), she incorporates physics simulations and mathematical games in her math and physics lectures.

Dr. Do Duc Tai received his Ph.D. in Mathematics from Nanyang Technological University in 2019. His areas of expertise include design theory, combinatorics, and algebraic number theory.

Prior to joining DigiPen (Singapore) in 2020, Duc Tai had held several teaching roles at Nanyang Technological University, where he taught various mathematics courses including Calculus, Linear Algebra, Engineering Mathematics, Discrete Mathematics, and Statistics. His goal as an educator is to design an effective teaching method to enable students from all backgrounds to learn at their full potential and in the most natural way.

Dr. Ronald Koh completed his bachelor’s, master’s, and Ph.D. in Mathematical Sciences at Nanyang Technological University (NTU). He has been working full-time as a teaching associate in NTU’s School of Physical and Mathematical Sciences (SPMS) since 2014, and won the department’s Teaching Assistant Award for a record three consecutive years from 2015 to 2017 for his teaching excellence.

Ronald is passionate about sharing his knowledge in mathematics and its various applications. Seeing his students grasp the concepts taught in class gives him great joy. Beyond teaching, Ronald also loves interacting with students and seeing them grow and mature in their individual lives.

Dr. Lin Qinjie obtained his Ph.D. from the National University of Singapore. His Ph.D. research focused on energy, renewable fuels, computational modelling, and simulation. He is currently exploring and researching on artificial intelligence in medical applications.

Qinjie is an adjunct lecturer at DigiPen (Singapore) and Singapore Institute of Technology. He teaches physics-related classes and hopes that his students will truly understand the concepts and their applications in the real world.

Outside of teaching, Qinjie has a wide range of interests including playing video games, learning about real estate, playing the piano, and running a small business doing piano-related services.

Dr. Tay Bee Yen has a Bachelor of Engineering (Mechanical) from National University of Singapore, Master of Engineering from Nanyang Technological University, and a Ph.D. from University of London.

Prior to teaching, Bee Yen was a research scientist at A*Star and an engineer at ST Engineering.

As an educator, she finds the most satisfaction when students fully understand the mathematical topics and can apply them in an engineering context in the real world.