Academic Service & Miscellaneous

Here you can find my full CV in PDF form. For more information, click on the following:

Mentoring and Supervision Work

Graduate Student Mentor for "An assimilative causal inference framework for model error detection and correction" and "Studying the El Niño–Southern Oscillation (ENSO) dynamics via conceptual models". Army Educational Outreach Program (AEOP) Internship projects for Summer 2026. Co-mentor with Nan Chen (project mentor lead) and Charlotte Moser.
- Program Information: The Army Educational Outreach Program (AEOP) Internship is organised and sponsored by the Army Research Office of the U.S. Army Combat Capabilities Development Command Army Research Laboratory (DEVCOM ARL). This project is conducted under AEOP's Undergraduate Research Apprenticeship Program (URAP). and High School Apprenticeship Program (HSAP).
- Project Description: This AEOP project focuses on two subtopics.
  1. Model error detection and improvement framework (undergraduate project). We will develop a practical framework for model error detection and correction using assimilative causal inference. We will identify and remove misspecified terms that lead to incorrect causal contributions in existing models and impose necessary structures to ensure reduced-order models accurately reproduce the detected causal links, adressing both model error and physics-informed parsimonious modeling. Initial tests will employ simple yet state-of-the-art turbulent systems, such as the Lorenz models, with the outcomes guiding systematic studies for more advanced models.
  2. ENSO study via conceptual models (high school project). We will analyze the ENSO dynamics using low-dimensional conceptual models, which capture large-scale statistical and dynamical features critical for applied sciences. We will conduct systematic comparisons between multiple stochastic conceptual models with the help of real observational data.
Graduate Student Mentor for "Learning Statistically Accurate Dynamics of Complex Systems". Madison Experimental Mathematics (MXM) Lab project for Spring 2026. Co-mentor with Pouria Behnoudfar (project mentor lead).
- Program Information: The MXM Lab was founded in 2021, and aims to enhance and support undergraduate research within the Department of Mathematics and the University of Wisconsin.
- Undergraduate Team Members: Tan Bui, Cody McKenna, Singer Xing, Daniel Youngberg.
- Final Project Report
- Reading Material:

Conference and Workshop Organisation

Main/corresponding convener for Recent Advances in Uncertainty Quantification and Scientific Machine Learning with Applications to Complex Dynamical Systems. Special session at the 15th AIMS Conference. July 6–10, 2026. Athens, Greece. Co-organised with Konstantinos Zygalakis and Nan Chen.

Referee/Peer-Review Involvement

I have refereed/peer-reviewed papers for the following academic journals:

I have acted as a presentation reviewer/judge in the following meetings:

Outstanding Student Presentation Awards (OSPA) at AGU24

Conference and Workshop Attendance

In case you're not sure where we might have met, here's a complete list of the conferences and workshops I have attended in person (including upcoming meetings I plan to attend). Within each year, meetings appear in ascending chronological order.

WIP/On-Hold Projects

DASSH — Diffusion-Accelerated Smoothing Using Score-Based Heuristics (WIP)
Information-Theoretic Structures of Filtering and Smoothing in Conditional Gaussian Nonlinear Systems (On-Hold)
Benchmarking Assimilative Causal Inference on General Complex Stochastic Systems (On-Hold)
Assimilative Causal Inference for Digital Twin Systems (On-Hold)
Data-Driven Assimilative Causal Inference (On-Hold)
Modelling the Cooking of Souvla. (On-Hold)
Creating an FEM solver using Galerkin's approach to conformal finite elements for Hemker's benchmark problem. (On-Hold)

Nan Chen's Research Group

From left to right: Pouria, Yinling, Prof. Chen, me, and Charlotte. (Zhongrui is missing from here since he was at a conference.) Clicking on someone redirects to their academic website.