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

• Education, Work Experience, and Honours & Awards

• Teaching Experience and Material

• Academic Service and Miscellaneous

Publications and Preprints 

Click on the title of an article for more information (links redirect within the website). An asterisk (*) indicates the corresponding author. 

PUBLICATIONS IN REFEREED/PEER-REVIEWED JOURNALS

1. Marios Andreou*, Nan Chen, Yingda Li (2026). An Adaptive Online Smoother with Closed-Form Solutions and Information-Theoretic Lag Selection for Conditional Gaussian Nonlinear Systems. Accepted in Journal of Nonlinear Science.

2. Marios Andreou, Nan Chen*, Erik Bollt (2026). Assimilative Causal Inference. Nature Communications, 17, 1854. https://doi.org/10.1038/s41467-026-68568-0. [arXiv version with Supplementary Information]

3. Nan Chen*, Stephen Wiggins, Marios Andreou (2025). Taming Uncertainty in a Complex World: The Rise of Uncertainty Quantification — A Tutorial for Beginners. Notices of the American Mathematical Society, 72(3) (March 2025 issue), 250–260. https://doi.org/10.1090/noti3120. [arXiv version with Supplementary Document]

4. Marios Andreou*, Nan Chen (2025). A Martingale-Free Introduction to Conditional Gaussian Nonlinear Systems. Entropy, 27(1), 2. https://doi.org/10.3390/e27010002.

5. Marios Andreou*, Nan Chen (2024). Statistical Response of ENSO Complexity to Initial Condition and Model Parameter Perturbations. Journal of Climate, 37(21), 5629–5651. https://doi.org/10.1175/JCLI-D-24-0017.1.

PREPRINTS

1. Charlotte Moser, Nan Chen*, Marios Andreou (2026). Mechanisms and Pathways of Extreme Events in Partially-Observed Stochastic Dynamical Systems. Submitted.

2. Jiang Zhang, Marios Andreou, Sebastian Reich, Nan Chen* (2026). A Continuous-Time Ensemble Kalman-Bucy Smoother for Causal Inference and Model Discovery. Submitted to Nonlinear Processes in Geophysics.

3. Marios Andreou, Nan Chen* (2025). Bridging prediction and attribution: Identifying forward and backward causal influence ranges using assimilative causal inference. Under review in Physica D: Nonlinear Phenomena.

Talks and Guest Lectures

Click on the title of a talk for more information (links redirect within the website). Click on a year to see my talks during that year. 

Key: [S] = Seminar Talk | [C] = Conference/Symposium/Workshop Talk | [G] = Guest Lecture | [M] = Miscellaneous

• 2026

1. [C] DASSH — Diffusion-Accelerated Smoothing Using Score-Based Heuristics. MS059 - Bridging scientific machine learning and scientific discovery: Novel developments. WCCM–ECCOMAS 2026. Oral presentation. July, 2026. Munich, Germany. [Slides]

2. [C] Assimilative Causal Inference. SS113: Recent Advances in Uncertainty Quantification and Scientific Machine Learning with Applications to Complex Dynamical Systems. 15th AIMS Conference. Oral presentation. July 10, 2026. Athens, Greece. [Slides]

3. [C] DASSH — Diffusion-Accelerated Smoothing Using Score-Based Heuristics. SS177: Innovations in Data Assimilation: Theory, Algorithms, and Application. 15th AIMS Conference. Oral presentation. July 9, 2026. Athens, Greece. [Slides]

4. [C] Assimilative Causal Inference. [U-02] Applied Math Perspectives on Modeling, Analyzing, and Predicting Complex Geophysical Systems. JpGU-AGU Joint Meeting 2026. Oral presentation and poster talk. May 25 2026. Chiba, Japan. [Slides] | [Poster]

5. [C] DASSH — Diffusion-Accelerated Smoothing Using Score-Based Heuristics. [M-GI28] Data assimilation: A fundamental approach in geosciences. JpGU-AGU Joint Meeting 2026. Oral presentation. May 25, 2026. Chiba, Japan. [Slides]

6. [S] DASSH — Diffusion-Accelerated Smoothing Using Score-Based Heuristics. IFDS Ideas Forum. Oral presentation. April 27, 2026. University of Wisconsin–Madison, Madison, WI, USA. [Slides]

7. [S] Assimilative Causal Inference. Laboratory of Data Science Seminar (Purdue University Fort Wayne). Oral presentation. February 18, 2026. Online. [Slides]

8. [C] Assimilative Causal Inference. 2026 AOSS Community Poster Reception. Poster talk. February 9, 2026. University of Wisconsin–Madison, Madison, WI, USA. [Poster]

9. [C] Assimilative Causal Inference and the Temporal Reach of Causality. 2nd Days of Applied NOnlinearity and Complexity (DANOC 2026). Video talk. January 23, 2026. Online. [Video Talk]

10. [S] Assimilative Causal Inference. Department of Mathematics and Statistics Colloquium. Oral presentation. January 14, 2026. University of Cyprus, Nicosia, Cyprus. [Slides]

• 2025

• 2024

• 2022–2023