I'm presenting our work on "Neural Diffusion Intensity Models for Point Process Data" at the IISE Annual Conference & Expo 2026 in Arlington, Texas.
Xinlong Du
I am a PhD student in Industrial Engineering at Purdue University, advised by Prof. Harsha Honnappa. I work on uncertainty, stochastic systems, and decision-making.
Before that, I studied statistics at Purdue and physics at Reed College.
Now
Thinking about stochastic models for point processes and how to make meaningful inferences on their latent structures.
Before
BA in Physics from Reed College and MS in Statistics from Purdue University.
Outside
Classical music, tennis, biking, and other things that keep the mind from turning into a spreadsheet.
News
Projects
SimBaRepro
Simulation-based, finite-sample inference for privatized data. I worked with Prof. Jordan Awan and Zhanyu Wang to turn their research paper into an R package published on CRAN.
