Kishalay Das
Postdoctoral Associate
Greater Bengaluru Area India
Summary
👤
Senior🎓
Top SchoolKishalay Das is a Postdoctoral Associate at Yale University specializing in graph representation learning and Graph Neural Networks, with eight years of experience bridging academic research and applied software development. His PhD work at IIT Kharagpur focused on AI methods for 3D material and crystal graph generation and property prediction, building on an M.Tech from IISc and hands-on systems experience from ISRO and industry roles. He maintains an active research and engineering portfolio—publishing, developing code on GitHub, and creating educational content that has attracted 20K+ YouTube subscribers—demonstrating an unusual blend of deep technical expertise and public-facing science communication. Comfortable moving between low-level system engineering and cutting-edge ML, he has practical mission-critical experience from satellite support at ISRO and production software delivery at TCS/Accenture. Kishalay’s profile stands out for combining rigorous PhD-level research in molecular and crystal graphs with a talent for distilling complex career and exam guidance for a broad audience.
8 years of coding experience
5 years of employment as a software developer
M.Tech, Computer Science and Automation, M.Tech, Computer Science and Automation at Indian Institute of Science (IISc)Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at West Bengal University of Technology, KolkataSchooling, science, Schooling, science at Balichak B.H.InstitutionDoctor of Philosophy - PhD, Machine learning, Doctor of Philosophy - PhD, Machine learning at Indian Institute of Technology, Kharagpur
Bengali, Hindi, English
Stackoverflow
1reputation
381reached
0answers
2questions
Github Skills (52)
mpandroidchart9
java9
panning9
kotlin9
graph9
android9
bubble9
contrastive-learning8
scaling7
google-colaboratory7
charts7
graph-representation-learning6
keras6
deep-learning6
self-supervised-learning6
Programming languages (4)
Github contributions (5)
kdmsit/Awesome-Crystal-GNNs
Nov 2022 - Jan 2023
This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials
Contributions:23 commits, 34 pushes, 1 branch in 2 months
kdmsit/kdmsit.github.io
Jun 2021 - Feb 2025
Contributions:114 pushes, 1 branch in 3 years 9 months
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