Doctoral candidate in Computational Chemistry at IIT Delhi with expertise in molecular dynamics simulations, enhanced sampling techniques, and machine learning applications. PMRF scholar with 9.5/10 CGPA and 10+ publications in high-impact journals.
Indian Institute of Technology Delhi
Thesis Advisor: Dr. Tarak Karmakar
CGPA: 9.50/10.0
"Computational Modelling of Monolayer-Protected Metal Nanoclusters: Formation, Self-Assembly, and Catalytic Mechanisms"
Monolayer-protected metal nanoclusters (MPCs) are a new class of materials with atomically precise structures, enabling tuneable physicochemical properties and a broad range of applications in catalysis, biomedicine, and materials science. This thesis employs a multiscale computational approach to understand key aspects of MPC behaviour, including their formation, self-assembly, interactions with biomolecules, and catalytic mechanisms.
Indian Institute of Technology Delhi
Thesis Advisor: Prof. Anil J. Elias
CGPA: 9.33/10.0
"Highly E-Selective Olefination of Methyl Substituted N-Heteroarenes with Benzyl Amines using NaCl as Catalyst and Water as Solvent"
Developed a sustainable, metal-free method for highly E-selective olefination using NaCl catalyst in aqueous medium. Demonstrated broad substrate scope and green synthesis potential through in-situ aldehyde formation.
B. K. Birla College of Commerce, Science and Arts, Kalyan, Mumbai
CGPA: 6.87/7.00
Tarapur Vidya Mandir, Boisar
Subjects: Physics, Chemistry, Maths, Biology