Anindita Maiti

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I am an assistant professor in the Dept. of Artificial Intelligence at Indian Institute of Technology Kharagpur (also known as IIT KGP), since August 2026.

I leverage Theoretical Physics + Computational Statistics to mathematically model Artificial Intelligence -- focusing particularly on Mechanistic Interepretability (MI), Uncertainty Quantification (UQ), and Safety. Additionally, I wear a Physicist hat, wherein, I apply AI to model and simulate Quantum, across the domains of Theoretical Particle Physics and Quantum Matter. You can see my publication list at Google Scholar.

I am actively looking for motivated PhD, Masters and senior Undegrad students to join my group. Please feel free to reach out if my work resonates with you.

Biography

Geographically, my academic journey resembles a rectangle.

Prior to joining IIT Kharagpur, I was a postdoctoral research fellow at Perimeter Institute for Theoretical Physics, jointly with PIQuIL, from Sept 2023 till Aug 2026. During this time, I have been fortunate to be mentored by Prof. Roger Melko, while I explored Physics of AI: Scaling Laws, Mechanistic Interpretability, Uncertainty Quantification; and constructed theory-driven Generative AI frameworks for Quantum Field Theory and Quantum Many-Body Physics.

Prior to this, I was a postdoctoral research fellow in the Pehlevan Group at Harvard University, Dept. of Applied Math (SEAS), from May 2023 through Aug 2023. I have been fortunate to be mentored by Prof. Cengiz Pehlevan during this period and beyond, as I expanded my horizons into Theory of Deep Learning, especially via Applied Math and Computational Statistics.

I completed my PhD on AI for Effective Field Theory at Northeastern University, Boston, in Apr 2023 -- as one of the founding co-authors of the domain Neural Network Field Theory correspondence. I am fortunate to have been guided by Prof. Jim Halverson during my PhD. I was also a junior investigator at the NSF IAIFI, from Oct 2020 till Aug 2023. .

I received an integrated Bachelors and Masters (of Technology) in Engineering Physics at Indian Institute of Technology Bombay in Aug 2017.

My research and publication details can be found on other tabs.

Curriculum Vitae

Research

Details to be refreshed.

Teaching

As a faculty in IIT Kharagpur.

• Fall 2026 (post mid-semester exam): Linear Algebra for AI (AI21203) for sophomores.

As a Postdoctoral Fellow at Perimeter & Harvard.

• Future Horizons: Bridging AI, Quantum and New Materials 2024 Workshop: Lecture and tutorial on Machine Learning from a Physicist’s Perspective
• The NSF IAIFI Summer School 2023: Tutorial Lead on 'Normalizing Flows for Lattice Field Theory' lectures by Miranda Cheng

People

To be added.

Contact

amaiti@ai.iitkgp.ac.in

Dept. of Artificial Intelligence, CRR Floor-6 Office #4,
Indian Institute of Technology Kharagpur, India 721302.

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