Solving Complex Problems with Mathematical Engineering

I’m Francisco Richter-Mendoza, a postdoctoral researcher and mathematical engineer at the Statistical Computing Laboratory at Università della Svizzera italiana. My work centers on data science, predictive stochastic modeling, and statistical network sciences, applied to diverse areas.

My approach integrates three main pillars:

• Teaching: Engaging students at undergraduate and graduate levels through courses in data science, network analysis, and statistical methods. I also supervise master’s theses for the Master in Computational Science and the Master in Artificial Intelligence programs, which I consider in the intersection of teaching and research.

• Research: Developing statistical methodologies for complex systems, with a focus on diversification dynamics and environmental data imputation. I pursue interdisciplinary collaboration, particularly between Chile and Switzerland, to advance knowledge across diverse fields.

• Applied Mathematics: Applying statistical techniques to solve practical problems, turning mathematical concepts into impactful tools for technology transfer and real-world solutions.

I’m fortunate to have worked with inspiring mentors from diverse fields, whose guidance continues to shape my work. I also engage with students and colleagues from various experience levels, valuing the blend of perspectives that enriches our multidisciplinary, international, and collaborative projects.

For collaborations or further information, feel free to reach out.