Faculty Bio

• University of California, Davis (UC Davis), CA, USA
  PhD, Physics
  June 2012
  Dissertation: Computational Studies of Condensed Matter Systems: MnV₂O₄ and the 2D attractive Hubbard model with spin-dependent disorder
  Advisor: Prof. Sergey Savrasov
• San Jose State University, San Jose, CA, USA
  MS, Physics
  August 2005
• San Jose State University, San Jose, CA, USA
  BS, Physics with minor in Maths
  May 2002

Research Experience

• Assistant Professor of Physics
  Amrita Vishwa Vidyapeetham, Chennai, India: 11/2022 – present
• Postdoctoral Research Associate
  Brown University: 10/2017 – 6/2020
  Supervisor: Prof. Brenda Rubenstein
  1. Conducting computational physics research on the electronic structure of transition metal oxides and actinide compounds using methods such as density functional theory (DFT), full configuration interaction (FCI), and quantum monte-carlo (QMC).
  2. Used custom physics codes to perform the research as well as wrote my own Python code to implement the Hartree-Fock algorithm of quantum chemistry.
• Postdoctoral Research Associate
  University of Illinois at Chicago: 8/2015 – 12/2016
  Supervisor: Prof. Hyowon Park
  1. Conducting computational physics research on the electronic structure of transition metal oxides using computational methods such as density functional theory (DFT) and charge self-consistent dynamical mean-field theory (DMFT).
  2. Study of the structural and magnetic phase transitions in bulk and strained transition metal oxides.
• Postdoctoral Research Associate
  University of Notre Dame: 1/2014 – 5/2015
  Supervisor: Prof. John Parkhill
  1. Performed research on the electronic structure and molecular dynamics of photovoltaic materials, and non-radiative energy transfer in molecules using density functional theory, many-body excited state methods such as GW+BSE, and the Redfield equation.
  2. Developed a method to propagate non-equilibrium electron and hole density matrices based on the Mukherjee-Kutzelnigg generalized normal ordering and the Redfield equation.
  3. Wrote Python scripts to automate electronic structure job submissions to the HPC clusters, as well as for subsequent data collection for analysis.
• Visiting Scholar
  UC Davis: 4/2013 – 12/2013
  Supervisor: Prof. Sergey Savrasov
• Postdoctoral Scholar
  UC Davis: 4/2012 – 4/2013
  Supervisor: Prof. Sergey Savrasov
  1. Investigating the electronic structure and computing exchange interactions of Uranium dioxide (UO₂).
  2. Calculating spin-waves of UO₂ from a generalized Heisenberg model.
• Graduate Student Researcher (GSR)
  UC Davis: 9/2008 – 12/2009 and 9/2011 – 3/2012
  1. Performed computational physics research involving simulation of the electronic structure of materials and calculation of various physical properties using first-principles codes.
  2. Calculated the exchange constants in magnetic materials using linear response; used the calculated parameters in a Heisenberg model and solved for the spin-waves of the materials.
  3. Designed, implemented, tested, and used Fortran code to map the mean-field phase diagram of the 2D spin-dependent, disordered, attractive Hubbard model.

Teaching Experience

• Assistant Professor of Physics
  Amrita Vishwa Vidyapeetham, Chennai, India: 11/2022 – present
  1. Teaching undergraduate courses in engineering physics and electrical properties of materials
• Visiting Lecturer
  Brown University: 9/2019 – 5/2020
  Developed and taught the graduate level quantum mechanics and quantum chemistry courses in the Department of Chemistry at Brown University during the 2019 – 2020 academic year.
• Teaching Assistant
  UC Davis: 9/2005 – 8/2008 and 1/2010 – 8/2011
  1. Taught lower-division undergraduate physics labs for science and engineering majors, and for life-science majors.
  2. One-on-one interactions with students during lab and office hours to facilitate their understanding of concepts and improve their problem-solving abilities
  3. Graded assignments for several undergraduate physics courses
  4. Reader for upper-division physics courses: Classical Mechanics, Quantum Mechanics
  5. Reader for graduate physics courses: Electricity and Magnetism, Mathematical Methods

• Electronic Structure Codes:
  VASP, LMTO, Quantum Espresso, Q-Chem, Berkeley GW, YAMBO, DFT+DMFT, Wannier90, QMCpack
• Programming Languages:
  Python, R, Java, C/C++, MATLAB, Fortran, Mathematica
• Data Analysis Tools:
  Excel, Pandas, NumPy, SciPy, Matplotlib, Seaborn, Scikit-Learn
• Databases:
  SQL, PostgreSQL

• Classical Mechanics,
• Mathematical Methods
• Electromagnetic Theory
• Quantum Mechanics
• Statistical Mechanics
• Condensed Matter Physics,
• Superconductivity
• Quantum Magnetism,
• Quantum Field Theory
• Particle Physics,
• Computational Physics
• Numerical Methods

• American Physical Society, 2019 – 2020