Hi, this is Jia-Jie (朱家杰(傑) in Chinese). I’m an applied mathematician and machine learner. I’m currently an associate professor in mathematics at the KTH Royal Institute of Technology in Stockholm. Earlier in my career, I studied mathematics for my undergraduate degree at Fudan University in Shanghai, China, where I studied mathematical foundations such as analysis and PDE. Subsequently, I received doctoral training in optimization (and a good chunk of statistics) during my Ph.D. study guided by William Hager at the University of Florida. During my postdoc in Germany, I mostly worked with infinite-dimensional optimization of probability measures, using kernels and optimal transport. Nowadays, I am interested in the intersection of machine learning, applied analysis (PDE), and optimization (infinite-dimensional/variational), on topics such as gradient flows of probability measures, continuous optimal transport. In my spare time, I enjoy science fiction, podcasts, and playing sports.