I am a Postdoctoral Fellow at Colorado State University (CSU) in the Department of Atmospheric Science, where I employ theoretical and computational (such as artificial intelligence) methods to study climate dynamics, the radiative energy budget, and extreme events. Throughout my career, I have obtained experience in different scientific fields and departments, giving me unique insight into the broader field of science. I got my PhD in theoretical physics, but felt the urge to apply my scientific thinking to the more pressing challenges of climate change.
My most recent work has focused on using artificial intelligence (AI) to better understand climate processes that affect our planet. For example, I use AI methods to make better use of existing climate model simulations and connect them with observations. I also work towards advancing more traditional methods, by relaxing the normal assumption in data assimilation techniques.
As a physicist, I am trained to identify interesting research questions, recognize new techniques to investigate them, and solve the complex problems that arise. I believe in the importance of working in a diverse research environment, tackling high-impact issues such as climate change, and using novel machine-learning methods to advance our collective knowledge. With my working knowledge in different sciences, spanning climate science, physics, and mathematics, I am able to speak the language of scientists from various fields. My ability to translate complex concepts into accessible language for a wide range of audiences helps me in my quest to share my research with the broader public and teach students. As such, I have given multiple popular science talks and workshops, and am the organizer of the Fort Collins chapter of Nerd Nite.