Aurghya Maiti

Quantitative Researcher

New York, New York, United States
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Summary

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Senior
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Top School
Aurghya Maiti is a researcher and PhD candidate in Computer Science at Columbia University with eight years of experience focused on causality, bandits, and reinforcement learning, particularly for decision-making and recommendation systems. He has held multiple research roles at Adobe Research where he developed algorithms for Bayesian network generation, disentangling mixture interventions, time-series analysis, and bandit-based decision policies. At Columbia he works with Prof. Elias Bareinboim on causal decision-making, bridging theoretical causal inference with practical applications in recommendations and insights generation. An IIT Kharagpur alumnus with a strong academic record, he combines rigorous theory with hands-on algorithm design and production-minded research experience across industry and academia.
code8 years of coding experience
job2 years of employment as a software developer
bookClass XII, Class XII at Nava Nalanda
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University
bookBachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Indian Institute of Technology, Kharagpur
languagesEnglish, Bengali, Hindi
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Github Skills (1)

artificial-intelligence2

Programming languages (1)

Python

Github contributions (5)

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Contributions:5 commits, 4 pushes, 1 branch in 4 months
aurghya/aurghya.github.io

Nov 2021 - Jul 2025

Contributions:11 pushes, 1 branch in 3 years 9 months
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