Thomas Flynn is an Associate Computational Scientist in the Computing and Data Sciences Directorate at Brookhaven National Laboratory.
I work in scientific machine learning and optimization. My research focuses on mathematical tools for understanding machine learning optimization problems and algorithms. I'm also currently involved with several applications of machine learning to scientific problems, including surrogate modeling for fusion energy, and defect detection in microelectronics. I'm open to collaborations - feel free to get in touch.
Some of the projects I'm currently serving as a co-investigator on include: