I am currently a Ph.D. candidate in the interdisciplinary Computational Science and Engineering program at Georgia Tech, where I am fortunate to be advised by Prof. Cassie S. Mitchell from the Laboratory for Pathology Dynamics. Previously, I earned my M.S. in the same major under the joint supervision of Prof. B. Aditya Prakash and Prof. Lauren N. Steimle, focusing on WiFi networks, mobility data, and Covid-19 models. I also completed internships at Tesla, working on the networking planning of superchargers, and at Berkeley Lab, working on large-scale representative thermodynamic models. I will join Amazon as an Applied Scientist Intern in the summer 2025.
My academic background includes studies in Economics and Mathematics, leading to the attainment of my BS from Presbyterian College, SC, United States.
A key focus of my Ph.D. research is the study of social, physical, and pathological dynamics which can be understood as networks and perturbations. These networks can represent diverse connections, including those that are online, sparse, or expensive to approximate and maintain. I am particularly interested in exploring whether it is possible to reverse-engineer a such model in order to complete the networks, re-establish their progression, or generate new data. This area of research continues to be a significant focus of my Ph.D. program.
- Generative Models of Brain Connectomes under Neurological Diseases
- Variational-Autoencoder-like Methods for Generating Brain Connectome Under Neurological Diseases (IJMS 2025):
- Score-based Stochastic Network Diffusion Models for Connectomes Dynamics under Neurodegeneration:
- Optimization Algorithms and Graph Theory
- (Removed temporarily for review anonymization): Coming Soon
- Physics-constrained Machine Learning
- Representative Deep-Gray Thermodynamic Models of Residential Buildings: (Energy & Buildings 2024)
Off the main stem, I also explored these topics:
Augmenting Bayesian Topic Models using Online Confirmation from Community-driven Apps: (BuildSys 2023)
Empirical WiFi Datasets for Localizing Covid-19 Intervention: (Front. in Digital Health 2023)
Outside of research, I am a dreamer, a reader, and an audience of musicals, sports, and concerts (🖤🩷).
Contact Me
- My email address is jxie{at}gatech{dot}edu.
- My Resume is here. (Updated Sept 2024)