I am a Senior Scientist and Manager at Verisk (formerly AIR Worldwide) where I am building the next generation of AI models for climate risk.

Prior to joining Verisk, I was a Postdoctoral Associate at MIT where I used machine learning to predict extreme events in physical systems (with Themis Sapsis).

I received a Ph.D. in Aerospace Engineering from UIUC where I worked on model reduction for fluid–structure interaction (with Larry Bergman, Alex Vakakis, and Arne Pearlstein).

Research interests

Machine learning

Dynamical systems

Extreme events

Computational physics

Uncertainty quantification

News

[Sept. 2023] I am presenting our work on ML for weather extremes at the LSDLES Workshop in Bonn, Germany.

[Apr. 2023] I spoke at the Verisk Insurance Conference in Scottsdale and shared some insights with AM Best TV.

[Jan. 2023] I was named “Scientist of the Year” by my peers at Verisk.

[Dec. 2022] I am presenting a poster on our work on deep-learning for weather extremes at AGU in Chicago.

[Dec. 2022] Our NeurIPS paper on ML for weather extremes was recognized as “Best Paper for ML Innovation”.