Here you can find my full CV in PDF form. For more information, click on the following:
Lead mentor for "Temporal Causal Networks in Nonlinear Dynamical Systems via Assimilative Causal Inference" and "Exploring the El Niño–Southern Oscillation (ENSO) Complexity Using Conceptual Models". Army Educational Outreach Program (AEOP) Internship projects for Summer 2026. Co-mentor with Nan Chen 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: These AEOP projects focus on two distinct subtopics.
Temporal Causal Networks in Nonlinear Dynamical Systems via Assimilative Causal Inference (undergraduate project). We develop a dynamical-systems framework for temporal causal networks using assimilative causal inference. We assemble instantaneous causal contributions into temporally evolving weighted directed graphs, enabling the identification of regime-dependent causal fingerprints, causal reorganizations during transitions, and low-dimensional coherent structures in causal space. Initial studies use the Lorenz '63 system to establish the geometry of temporal causality, with outcomes guiding the investigation of a topographic flow model to reveal causal pathways associated with zonal–blocked regime transitions, including blocking onset and decay.
Exploring the El Niño–Southern Oscillation (ENSO) Complexity Using Conceptual Models (high school project). We analyse the many facets of ENSO complexity and diversity using low-dimensional conceptual models which capture large-scale statistical and dynamical features critical for applied sciences. We 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).
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.
Reading Material:
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.
I have refereed/peer-reviewed papers for the following academic journals:
Nonlinear Processes in Geophysics (European Geosciences Union)
Journal of Atmospheric and Oceanic Technology (American Meteorological Society)
I have acted as a presentation reviewer/judge in the following meetings:
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 are listed in reverse chronological order.
2026
2025
2024
2023
DASSH — Diffusion-Accelerated Smoothing Using Score-Based Heuristics (WIP)
Identifying Distinct Causal Fingerprints of ENSO Complexity via Conceptual Models (WIP)
Causal Fingerprints Reveal Hidden Mechanisms in Partially Observed Dynamical Systems (WIP)
Assimilative Causal Inference for Digital Twin Systems (On-Hold)
Data-Driven Assimilative Causal Inference (On-Hold)
Modelling the Cooking of Souvla. (On-Hold)
From left to right: Zhongrui, Charlotte, Yinling, Nan, Pouria, Marios. Clicking on someone redirects to their academic website.