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*, Erik Bollt (2026). Assimilative Causal Inference. Nature Communications, 17, 1854. https://doi.org/10.1038/s41467-026-68568-0.

2. 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]

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

4. 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. 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.

2. Marios Andreou*, Nan Chen, Yingda Li (2024). An Adaptive Online Smoother with Closed-Form Solutions and Information-Theoretic Lag Selection for Conditional Gaussian Nonlinear Systems. Under review in Journal of Nonlinear Science.

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

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

3. [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]

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

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

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

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

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

9. [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]

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

11. [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]

12. [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]

13. [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]

14. [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]

15. [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]

16. [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]

17. [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]

18. [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]

19. [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.

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

21. [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]

22. [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]

23. [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]