top of page
5D4_9403.jpg

Dr Antonios Mamalakis

I am a research scientist working with Professors Elizabeth Barnes and James Hurrell at Colorado State University (CSU).

I hold a PhD in Civil and Environmental Engineering from University of California, Irvine, advised by Professor Efi Foufoula-Georgiou.

My past work has been focused on the interaction between climate variability and change with regional hydroclimate across scales.

At CSU, I currently work on eXplainable Artificial Intelligence (XAI) and its application to climate science.   

​

News

New study published in AI4ES
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience
September 2022 
New study published in Env. Data Science
Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset
June 2022 
New Book chapter published
Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science
March 2022 
New study published in Geophysical Research Letters

Underestimated MJO variability in CMIP6 models 
June 2021 
New study published in Nature Climate Change
​
Zonally contrasting shifts of the tropical rain belt in response to climate change 
January 2021 
New Position!
​
 I am very excited to join Colorado State University and work as a postdoc on knowledge-guided machine learning! 
September 2020 
New study published in Journal of Climate
​
Graph-Guided Regularized Regression to Increase Predictive Skill of Winter Precipitation 
January 2021 
New study published in Journal of Climate
​
Rotated Spectral Principal Component Analysis (rsPCA) for Identifying Dynamical Modes of Variability in Climate Systems
January 2021 
PhD Graduation!
​
 Thank you UCI for this amazing journey!
September 2020 
5D4_9555.jpg
Study included in the top 50 articles of Nature Comm:
​
A new interhemispheric teleconnection increases predictability of winter precipitation in southwestern US
July 2019 

Highlighted Research

Attribution Benchmarks to introduce objectivity in the XAI assessment
urn_cambridge.org_id_binary_20220608155853621-0663_S2634460222000073_S2634460222000073_fig
Zonally contrasting shifts of the tropical rain belt in response to climate change
Picture5_media.png
New teleconnection increases predictability of precipitation in southwestern US
NZI_mechanism.png
Simultaneous Bias Correction and spatial Downscaling of climate model Rainfall 
wrcr22499-fig-0008-m.jpg
bottom of page