Hi, this is Jia-Jie (朱家杰（傑）). 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, Sweden. Earlier in my career, I studied mathematics for my undergraduate degree at Fudan University in Shanghai, and subsequently received doctoral training in optimization during my Ph.D. study guided by William Hager at the University of Florida. I am interested in the intersection of machine learning, applied analysis (PDE), and optimization, on topics such as gradient flows of probability measures, optimal transport, and numerical optimization. In my spare time, I enjoy science fiction, podcasts, and playing sports.