🌐 Attending AWS Summit Paris 2024
A glimpse into my experience attending AWS Summit Paris with the Stellantis team and exploring the European tech ecosystem.
Professional Summary
I’m a PhD student at the University of Luxembourg, deep diving into the mathematical foundations of geometrical/topological deep learning. I am currently working under Professor Jun Pang.
Education
PhD in Geometrical and Topological Deep Learning.
2025-09-01
Current
FSTM, University of Luxembourg
Double MSc in Data Science and Business Analytics.
2021-09-01
2023-03-31
CentraleSupélec & ESSEC Business School, Paris, France
Bachelor of Engineering minior in Mathematics.
2016-07-01
2020-05-31
Indian Institute of Technology (IIT) BHU, Varanasi, India
Interests
Geometrical & Topological Deep Learning
Mathematical Foundations of GDL and TDL
Non-Euclidean Deep Learning on Manifolds, Graphs, and Combinatorial Complexes
Geometric Graph Neural Networks
Equivariant Graph Neural Networks
Expressive Power of GNNs
Applications in Atomic Systems
Drug Discovery
Molecular Dynamics Simulations
📚 My Research
My research interests include:
Geometrical & Topological Deep Learning architectures, especially on non-Euclidean domains such as manifolds, spheres, graphs, higher order data objects like combinatorial complexes.
Mathematical breakthroughs in GDL/TDL through the lens of differential geometry, algebraic topology, graph theory, and group theory.
Geometric graph neural networks, equivariant graph neural networks, and the expressive power of GNNs.
Applications of GDL/TDL in atomic systems, drug discovery, and molecular dynamics simulations.
Occasional musings on AI alignment, interpretability and ethics, existence and consciousness.
Workshops & Schools
Recent Blogs
🧭 Spherical Harmonics and the Spherical Coordinate System
Understanding spherical coordinates and spherical harmonics — the mathematical foundation behind many applications in physics, geometry, and machine learning.