Understanding the science of innovation and technology
Hello! I am a postdoctoral fellow at the Kellogg School of Management at Northwestern University with Prof. Dashun Wang. My current research focus is on the science of science and innovation.
I completed my Ph.D. in Informatics at Indiana University, Bloomington, in the Complex Networks and Systems track in 2024. During my Ph.D., I worked with Prof. Filippo Radicchi and Prof. Santo Fortunato on many interesting problems, applying the tools of network science to understand a variety of social and technological systems, such as epidemic spreading and transportation.
Besides science, I devote a significant portion of my time to table tennis, honing my skills and enjoying the competitive spirit it brings. Please visit the About me section to learn more about this!
News
I defended my Ph.D. thesis on August 8th, 2024!
I will be starting as a postdoc at Northwestern University's Kellogg School of Management with Prof. Dashun Wang on August 15th, 2024.
Our paper titled "Symmetry breaking in optimal transport networks" was published in Nature Communications.
I will present our work on optimal transport networks at APS 2024 in Minneapolis.
Research highlight: Epidemic spreading in group-structured populations (PRX 2023)
Recurrent contacts among individuals in common groups and settings are known to mediate the spread of an infectious disease. However, it is not obvious how the properties of the spreading process are determined by the structure of and the interrelation among the group settings. Here, we show that, if the goal is preventing disease spreading within a population of college students, having a strong and correlated group structure is more desirable than one that is weak or uncorrelated. When groups are neat and correlated, there is in fact not only more time to intervene but also higher chances of success for interventions aimed at suppressing disease spreading.
Our findings were covered by the Physics Magazine and Luddy SICE news!