Daren LER

Daren LER is a Senior Lecturer (Educator Track) in the Department of Computer Science at the National University of Singapore. His teaching and educational leadership focus on the design and evaluation of structured instructional interventions that develop student self-efficacy and problem-solving competence in foundational computing and artificial intelligence courses. Prior to joining NUS, he served as a Computing Teacher with Singapore’s Ministry of Education, teaching H2 Computing at National Junior College, and was awarded the Outstanding Computing Teacher Award in 2019. At NUS, he has led evidence-based pedagogical innovations, curriculum development, and educator communities through his roles as Director of Studies at Acacia College, Deputy Director (and Co-Founder) of the Centre for Nurturing Computing Excellence (CeNCE), and core member of the university-level X+AI Workgroup. His contributions have been recognised through multiple Faculty Teaching Excellence Awards and the Annual Teaching Excellence Award.

Daren Ler is a researcher at the National University of Singapore, specializing in Machine Learning. His work focuses on algorithm selection and meta-learning frameworks, particularly in the context of named entity recognition and classification problems. Ler's research explores the use of regression-based landmarkers, correlativity, and efficiency criteria to enhance the performance of machine learning models. His publications include studies on landmarker generation, meta-learning for language-independent tasks, and algorithm selection via cluster-based meta-features. Ler also investigates the application of machine learning in educational settings, such as scaffolding problem-solving for introductory computing students.