Curriculum Vitae

Education

Ghent University
Doctoral Degree in Physics, 2023 - Present
- Supervised by Prof. Jutho Haegeman and Prof. Karel Van Acoleyen.
Indian Institute of Science Education and Research, Mohali
BS-MS Dual Degree, Physics Major, 2018 - 2023
- Cumulative GPA: 10.0/10.0
Devi Academy, Sr. Sec School, Chennai
CBSE Board, Secondary and Senior Secondary School (2016 - 2018)
- AISSCE, Class 12: 96% score
- AISCE, Class 10: 10/10 CGPA

June 2022 - April 2023, Master’s thesis with Dr. Sanjeev Kumar, in collaboration with Prof. Dr. Tilman Pfau - [PDF] [PPT]
- Implemented algorithms (MFT, CMFT) to qualitatively predict and identify exotic phases exhibited in the 2D - Bose Hubbard Model.
- This was done to assist the planning of an experimental quantum simulator setup using an optical lattice loaded with dipolar dysprosium atoms.
- Initiated attempts to utilize Quantum Monte Carlo (QMC) algorithms to precisely locate the phases of the system.
- Worked with Python, Julia

May‐Aug 2021, Research Internship with Dr. Vishwanath Shukla - [PDF]
- Explored concepts of parallel computing by learning elementary MPI and OpenMP.
- Read about superfluidity in BECs and implemented methods to simulate the 1D Gross-Pitaevski Equation to study ground state dynamics in harmonic traps.
- Continued to develop an interest in supersolidity in dipolar BECs and attempted to simulate the system.
- Worked with Fortran90, Julia

May‐July 2020, Research Internship with Dr. P. Balanarayan - [PDF]
- Explored simulation methods to study the behaviour of quantum wave packets under the influence of 1-dimensional potentials.
- Implemented algorithms to solve time (in)dependent Schrodinger equations and transfer matrix-based calculations to study scattering from potential barriers.
- Worked with Python (Numpy, Scipy)

May-July 2019, Research Internship with Dr. Prafulla Kumar Behera - [PDF]
- Learnt elementary particle physics and neutrino detection methods.
- Analyzed various aspects of the muon response of the proposed Indian Neutrino Observatory’s ICAL detector using simulated data.
- Worked with ROOT (C++ framework)

Scientific programming languages
- Fluent in Julia, Python
- Basic knowledge of Fortran90, C++
Front-end Web development
- Basic knowledge of Vanilla HTML/CSS/Javascript
Other software
- Blender (3D Modelling)
- GAMESS (Quantum Chemistry)

President’s Gold Medal: For the best academic performance in the class of 2023
CNR Rao Foundation Award: For obtaining 10 SPI in 2nd semester.
Innovation in Science Pursuit for Inspired Research - Scholarship for Higher Education (INSPIRE-SHE): for top 1% performance in AISSCE.

Mandatory Theory courses - Classical Mechanics, Quantum Mechanics, Electromagnetism, Mathematical Methods for Physics-I, Statistical Mechanics, Advanced Quantum Mechanics, Nuclear and Particle Physics, Solid State Physics, Atomic and Molecular Physics.
Mandatory Lab courses - Advanced optics and spectroscopy, Advanced Electronics, Nuclear Physics, Condensed Matter.
Elective courses - Modelling Complex Systems, Relativistic Quantum Mechanics and Quantum Field Theory (QFT-I), Introduction to Data Science, Computational Chemistry, Machine Learning, Physics of Fluids.

You can find a .pdf version of my CV here.