The applied mathematics, computer science and statistics thematic group includes a wide range of sub-disciplines such as algebra, analysis, computer science, data science, geometry, numerical analysis, probability, and statistics. Council members in the applied mathematics, computer science and statistics thematic group carry out cutting-edge research on topics such as new cancer cell characterization by microelectron mechanical systems, malaria incidence reduction, population dynamics, coastal erosion, innovative wireless sensor networks, development of new data representation models, development of new data analysis and modeling techniques, future energy transition to net-zero emissions, communication networks design, resource management optimization (e.g. water and energy), and financial risks. These contribute to medical treatments, infectious diseases modeling, pandemic response, economics and financial markets modeling, sustainable development, environment protection, advancement of information and communication technologies, applied policy analysis, imaging science, economic growth, biotechnologies, artificial intelligence, industry, and remote sensing, among many others.