We are looking for new team members (see openings) !
Astrit Tola holds a PhD in Mathematics from the University of Texas at Dallas, where he also earned an MS in Mathematics with a specialization in Data Science. His research lies at the intersection of Graph Neural Networks, Topological Data Analysis, and Machine Learning, with practical applications in link prediction and drug discovery. He has published in peer-reviewed journals and preprint servers, with recent contributions focusing on topological embeddings and graph representation learning. Astrit completed his BS in Mathematics with honors at Middle East Technical University. Alongside his research, he has served as a teaching and research assistant, and is passionate about bridging theoretical mathematics with impactful data-driven solutions. More information can be found at astrittola.github.io.
Hello, my name is Haoyang Qian, and I’m from China. My current research focuses on spectral modularity and non-normal networks in the context of spreading dynamics models. Besides academic research, I also enjoy traveling and baking. I’m thoroughly enjoying every moment of my life at Florida State University.
I am a Biomathematics PhD candidate researching diffusive processes on networks and how these ideas extend to applications such as neuroscience. Incidences of cluster synchronization/desynchronization and chimera states have been examined as key regulatory components that can lead to the pathogenesis of a number of brain diseases, and I am interested in finding out more about these processes.
2018-2022
Bram graduated in 2022 with a PhD in Applied Mathematics from the University of Limerick, Ireland, where his thesis focused on self-organization dynamics and nonlinear random walks. He is currently employed as a data scientist at One Fox in the Netherlands.