Supervisors: Ali Hassanali (ICTP), Alessandro Laio (SISSA)
ERC Funded Fellowship on Hydrogen-bond Networks as Optical Probes (HyBOP)
Primary Research Directions: Causality inference in molecular systems using machine learning (ML), Non-adiabatic molecular dynamics, Photochemistry of amino acids and proteins, Protein-Solvent interactions, Unsupervised ML methods for atomistic simulations
Master’s Thesis (Supervisors: Edgar Roldan, Ali Hassanali, Ivan Girotto) - “Development of a computational toolbox to analyse first-passage times and diffusion coefficients in heterogeneous soft-matter systems”
Courses: Programming with C, Fortran, C++, Python; Parallel Programming - MPI, OpenMP, CUDA (GPU); Numerical Methods and Analysis; Numerical Linear Algebra; Linux HPC Cluster Management; Unsupervised Machine Learning; Supervised Machine Learning; Reinforcement Learning; Deep Learning; Natural Language Processing (NLP); Molecular Dynamics; Electronic Structure Theory; Advanced Optimization Techniques (for Intel CPUs); Parallel Fast Fourier Transform; Approximation and Interpolation of Functions
PhD student at ICTP and SISSA, Trieste, Italy (Oct 2022 - present)
Master’s Thesis at ICTP, Trieste, “Developing computational methods for first-passage time analysis in soft-matter systems” (Apr 2022 - Oct 2022)
Research Intern at University of Jena (virtual - Covid đ˘), “Computational methods to predict aggregate structures of organic dyes” (Oct 2020 - May 2021)
Research Intern at IACS, Kolkata, “Non-Equilibrium Statistical Mechanics and Stochastic Differential Equations” (Apr 2019 - Mar 2020)
Bachelor’s Thesis at St. Xavier’s College, Kolkata, “Perturbation Methods in Nonlinear Dynamics” (Sep 2018 - Mar 2019)
Research Intern at IACS, Kolkata, “Perturbation Theory and Nonlinear Dynamics” (Apr 2018 - Aug 2018)
Research Intern at St. Xavier’s College, Kolkata, “Developing graph-theoretical methods for the computation of chemical properties” (Aug 2017 - Nov 2017)