NM’s mission is to make the world better using mathematics by bridging the gap between academia and industries. We apply state-of-the-art mathematics that would otherwise only be on research papers to solve real-life problems, making things and processes more efficient and effective. NM HS DSC is NM’s Corporate Social Responsibility project (CSR) to donate the competitions and training to raise funds for Scholastic Trust Singapore (STS) to help needy students and offer scholarships. NM has created many innovative technologies to solve real-world problems for industries worldwide, from finance to manufacturing to logistics. In finance, we have a suite of portfolio allocation models that ranges from classical Markowitz theory to advanced stochastic asset allocation models. The progressive development of the allocation models makes more and more realistic assumptions that are better applied in realistic settings. We are a pioneer in China’s fixed income market modelling, having built (probably) the best zero-coupon curve for Chinese bonds. We have overcome many problems unique in the Chinese market such as lack of information. For factories and plants, we have built a number of data-to-decision systems, assisting management make scientific decisions based on mathematics and data to improve the efficiency and effectiveness of workflow, resources and profits. Our past projects include resource allocation, scheduling, logistics and optimization. NM has contributed to research in numerical computing and data science. We have created a large collection of high-performance analytics, covering basic math like linear algebra and calculus to high level algorithms such as neural network and machine learning to applications including wealth management and decision-making systems. These analytics are now accessible on the S2 platform. Users are able to quickly build prototypes, test and deploy their models.