Huy Pham
About Huy Pham
Huy Pham is a Staff Scientist at Lawrence Livermore National Laboratory, specializing in condensed matter and materials physics. He has a strong background in computational simulations and programming, with previous research experience at the University of California, San Diego, and extensive postdoctoral work.
Current Role at Lawrence Livermore National Laboratory
Huy Pham currently serves as a Staff Scientist at Lawrence Livermore National Laboratory, a position he has held since 2021. In this role, he conducts advanced research utilizing Monte Carlo simulations and high-performance computing systems. His work contributes to the laboratory's mission of addressing national security challenges through scientific innovation.
Previous Experience at University of California, San Diego
Prior to his current position, Huy Pham worked as a Postdoctoral Researcher at the University of California, San Diego from 2015 to 2018. During his three years in La Jolla, California, he focused on research in condensed matter and materials physics, further developing his expertise in computational simulations.
Postdoctoral Research at Lawrence Livermore National Laboratory
Huy Pham was a Postdoctoral Research Staff Member at Lawrence Livermore National Laboratory from 2018 to 2021. In this capacity, he continued to enhance his research skills and contributed to various projects involving computational methods in physics.
Educational Background in Physics
Huy Pham earned his Doctor of Philosophy (Ph.D.) in Condensed Matter and Materials Physics from SISSA International School for Advanced Studies, where he studied from 2011 to 2015. He also holds a Master's degree in the same field from Abdus Salam International Center for Theoretical Physics, completed in 2011. His academic journey began with a Bachelor's Degree in Theoretical Physics from Hanoi National University of Education, obtained from 2005 to 2009.
Technical Skills and Proficiencies
Huy Pham is proficient in several programming languages, including Python, Matlab, Fortran/C++, and Bash Script. He has experience with molecular dynamics simulations using force field codes such as LAMMPS and DL_POLY. Additionally, he is skilled in using ab-initio codes like Q-Chem, Gaussian, VASP, CP2K, and Quantum-Espresso, which are essential for computational simulations in his research.