Center for Interdisciplinary Scientific Computation Lunchtime Matchmaking Seminar

Analyzing Online Social Networks for Interdisciplinary Science

Our lab uses machine learning, natural language processing, and social network analysis to study text and graph data in online social networks like Twitter, Instagram, and Facebook. Applications we have investigated include: estimating the spread of disease, estimating the health of a community, predicting which products should be recalled, and predicting when cyberbullying will occur. I will give a brief overview of some of this applications and the novel machine learning algorithms we designed to solve them. I will conclude with some possibilities for interdisciplinary collaboration.

Applied Quantum Chemistry

Quantum chemistry nowadays is one of the most rapidly growing and highly efficient tools of modern chemistry. It allows to provide an accurate description and what is more important – make a reliable prediction of electronic structure, chemical reactivity and many other properties. In this talk, I will outline the research activity of my group in the field of applied chemistry. In our work we use the whole arsenal of the modern Quantum and Computational Chemistry and Physics, ranging from static approach to the molecular dynamic simulations.