The school aims to equip young researchers with the different mathematical tools that have become necessary and ubiquitous in this day of complex systems and big data. It will have three complementary core components. Lectures will focus on topics in matrix theory, optimization, inverse problems, and machine learning that permeates through different areas of mathematical and transdisciplinary research. Plenary talks will highlight cutting-edge research that employ the tools tackled in the lectures. Finally, the parallel sessions will give the participants hands-on experience using computational techniques and hardware in solving problems in their fields of interest (e.g., mathematical biology, inverse problems in physics and engineering, financial mathematics, data analytics).

With the aforementioned specific aims, the school is envisioned to be a capacity- building venue for young scientists. This will hasten the academic growth of the participants, especially in terms of their academic productivity and scholarly outputs. During the school, participants will be presenting their current research outputs or their research prospects. This will give them the venue not only to disseminate their results but also to gain comments or insights from their peers and other experts that can further improve their work. In the long term, we expect the participants to be able to use or integrate the learnings they obtained from the school into their own research that will hopefully translate into paper presentations and publications.

Mathematics Building, Luz U. Onate St., College, Laguna, Philippines 4031