Aaina Thapa
About Aaina Thapa
Aaina Thapa is a Postdoctoral Research Staff member at Lawrence Livermore National Laboratory, specializing in theoretical physics with a focus on nuclear structure and reaction calculations. She holds a PhD from the University of Tennessee, Knoxville, and has experience in high-performance computing and programming.
Work at Lawrence Livermore National Laboratory
Aaina Thapa has been employed as Postdoctoral Research Staff at Lawrence Livermore National Laboratory since 2022. In this role, she engages in advanced research projects that contribute to the laboratory's mission in nuclear science and engineering. Her work involves applying her expertise in theoretical physics and computational science to solve complex problems in the field.
Education and Expertise
Aaina Thapa completed her Bachelor of Science in Physics at Hans Raj College from 2010 to 2013. She then pursued her Doctor of Philosophy in Theoretical Physics, with a minor in Computational Science, at the University of Tennessee, Knoxville, from 2014 to 2019. Her educational background equips her with a strong foundation in both theoretical and computational aspects of physics.
Background in Research and Teaching
Thapa has a diverse background in academic research and teaching. She served as a Graduate Teaching Assistant at the University of Tennessee, Knoxville, from 2014 to 2015, where she supported undergraduate education. Subsequently, she worked as a Graduate Research Assistant at the same institution from 2015 to 2019, focusing on research projects that enhanced her analytical skills.
Experience at University of Washington
From 2019 to 2022, Aaina Thapa worked as a Postdoctoral Scholar at the University of Washington. During this period, she further developed her research capabilities, particularly in nuclear structure and reaction calculations. Her focus on the quantum many-body problem reflects her specialization in complex theoretical physics.
Technical Skills and Competencies
Aaina Thapa possesses strong technical skills relevant to her field. She is proficient in programming languages such as Python and C++, which are essential for high-performance computing tasks. Her research-oriented analytical problem-solving skills are complemented by her foundational knowledge of Linear Algebra, crucial for theoretical physics research.