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. 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.

2. 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 an article for more information (links redirect within the website).

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

1. [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]

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

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

4. [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]

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

6. [C] Assimilative Causal Inference. Data Science Week 2025 (Purdue University Fort Wayne). Video and poster talk. December 5, 2025. Online. [Video Talk] | [Poster]

7. [M] Assimilative Causal Inference. Three Minute Thesis Competition. Oral presentation. November 5, 2025. University of Wisconsin–Madison, Madison, WI, USA. [Slide+Talk]

8. [S] Assimilative Causal Inference. IFDS Ideas Forum. Oral presentation. October 13, 2025. University of Wisconsin–Madison, Madison, WI, USA. [Slides]

9. [C] Assimilative Causal Inference. Tutorial and Workshop on Data Assimilation. Oral presentation. September 18, 2025. University of Warsaw, Warsaw, Poland. [Slides]

10. [S] Harnessing the Conditional Gaussian Nonlinear System Framework for Efficient Adaptive-Lag Online Smoothing and Causal Inference. CEREA–CERMICS Joint Applied Mathematics Seminar. Oral presentation. September 9, 2025. École nationale des ponts et chaussées, Paris, France. [Slides]

11. [C] Assimilative Causal Inference. SCALES Conference 2025. Oral presentation. September 3, 2025. Johannes Gutenberg University, Mainz, Germany. [Slides]

12. [C] Assimilative Causal Inference. Data Meets Dynamics: Workshop on Data Assimilation for Complex Systems and Applications. Lightning and poster talk. August 21–22, 2025. University of Wisconsin–Madison, Madison, WI, USA. [Slides] | [Poster]

13. [S] Taming Uncertainty in a Complex World: The Rise of Uncertainty Quantification — A Tutorial for Beginners. Applied Analysis Seminar (BYU Department of Mathematics). Oral presentation. April 15, 2025. Brigham Young University, Provo, UT, USA. [Slides]

14. [G] An Introduction to Conditional Gaussian Nonlinear Dynamical Systems. Math 513R: Advanced Topics in Applied Math (Data Assimilation). Chalk talk. April 14, 2025. Brigham Young University, Provo, UT, USA. [Lecture Notes]

15. [C] An Adaptive Online Smoother with Closed-Form Solutions and Information-Theoretic Lag Selection for Partially Observed Nonlinear Dynamical Systems. 2025 Data Science Research Bazaar. Poster talk. March 19, 2025. University of Wisconsin–Madison, Madison, WI, USA. [Poster]

16. [C] An Adaptive Online Smoother with Closed-Form Solutions and Information-Theoretic Lag Selection for Partially Observed Nonlinear Dynamical Systems. 2025 AOSS Community Poster Reception. Poster talk. February 10, 2025. University of Wisconsin–Madison, Madison, WI, USA. [Poster]

17. [C] An Efficient Online Smoother and Sampling Algorithm for Partially Observed Nonlinear Dynamical Systems. SS107: Recent Advances in Data Assimilation with Machine Learning. 14th AIMS Conference. Oral presentation. December 20, 2024. Abu Dhabi, United Arab Emirates. [Slides]

18. [C] Statistical Response of ENSO Complexity to Initial Condition and Model Parameter Perturbations. OS23D: El Niño–Southern Oscillation and Pantropical Climate Interactions: Mechanisms, Predictability, Impacts, and Projections II Poster. AGU24. Poster talk. December 10, 2024. Washington D.C., USA. [Poster]

19. [C] An Efficient Online Smoother and Sampling Algorithm for Partially Observed Nonlinear Dynamical Systems. NG13A: Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences III Poster. AGU24. Poster talk. December 9, 2024. Washington D.C., USA. [Poster]

20. [S] An Introduction to Data Assimilation and Conditional Gaussian Dynamical Systems. Graduate Applied Math Seminar (GAMS). Chalk talk. November 19, 2024. University of Wisconsin–Madison, Madison, WI, USA.

21. [C] An Efficient Online Smoother and Sampling Algorithm for Partially Observed Nonlinear Dynamical Systems. ANDSC 2024. Poster talk. July 2, 2024. Madrid, Spain. [Poster]

22. [C] Quantifying the Statistical Response of ENSO Diversity to Initial Value and Model Parameter Perturbations, OS53C-1193: Tropical Pacific Climate Variability: Dynamics, Teleconnections, Impacts, and Projections IV Poster. AGU23. Poster talk. December 15, 2023. San Francisco, CA, USA. [Poster]

23. [C] Modelling the Cooking of Souvla. NG41B-0657: Efficient Data-Driven Methods for Multiscale Stochastic Modeling and Uncertainty Quantification II Poster. AGU23. Poster talk. December 14, 2023. San Fransisco, CA, USA. [Poster]

24. [M] Creating an FEM solver using Galerkin's approach to conformal finite elements. Final Presentation for MAS (ΜΑΣ) 499: Independent Research. Oral presentation. May 20, 2022. University of Cyprus, Nicosia, Cyprus. [Slides]