Welcome to my research page!
My name is Jean C. Ragusa and I am a professor of Nuclear Engineering, specializing in Scientific Computations with applications to Nuclear Science and Engineering.
I am a member of the computational physics and applied data sciences group in the department of nuclear engineering at Texas A&M. I love to share my passion for modeling and simulations in:
- Radiation Transport,
- Reactor Physics,
- Multiphysics Simulations, and
- Scientific Machine Learning:
- Model Order Reduction / Surrogate Models,
- Uncertainty Quantification,
- Data Assimilation
- Machine Learning (PiNNs, …).
We educate students in many aspects of modern computational methods dealing with various applications to our field (and also beyond our discipline too).
Our graduate students are highly sought after by National Laboratories and industry. 
I invite you to browse the various tabs to learn more about:
- specific research areas with a focus on research carried out by current and former students of mine,
- our PhD-level courses and a typical graduate curriculum in our group,
- and how to get involved with us.
We love to mentor undergraduate students as well. Do not hesitate to contact me for
- undergraduate research opportunities,
- how to get more involved in scientific computing,
- hints for summer internships at national labs.
