Samuel Thé
Postdoctoral Associate Developing statistical methods to identify and characterize interference in radio astronomical data with the aim to better mitigate them. Focus on low earth orbit satellites emissions and their future impact on radio astronomy. Other research interests include the processing of astronomical data (optical or radio) using machine learning methods.
Email
samthe@mit.edu
Coming from an applied mathematics and data sciences background, I did my PhD in astrophysics at the Centre de Recherche Astrophysique de Lyon in France. During this time, I developed several data processing methods for optical astronomy. Specializing in inverse problems and machine learning framework, I focused my research on tackling spurious signals in high-contrast imaging data of circumstellar environments.
My current research project at MIT Haystack Observatory is to apply my expertise in data science to the identification and mitigation of spurious radio signals coming from the ground, the atmosphere, and satellites in orbit.
On a more personal note, I enjoy cooking, reading science fiction, and fantasy literature and cinema.