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naman-dixit00/README.md

Typing Name

Independent Researcher | Computational Neurophysics
Yuanli AI Research Corporation Building Genri Powered by FPG_01 Engine.

LeetCode Mendeley

Executive Summary

I am a researcher operating at the intersection of Statistical Physics and Deep Learning. My work at First Principle AI Research Corporation focuses on the development of AI-powered modeling and simulation frameworks for complex physical and neural systems, with a particular emphasis on structural symmetries and physical constraints.

Research Interests

  • Physics-Informed Machine Learning (PIML): Integrating differential equations into neural architectures.
  • Geometric Deep Learning: Exploiting non-Euclidean data structures and group symmetries.
  • Deep Generative Modeling: Applications in synthetic data generation for physical phenomena.
  • Computational Neurophysics: Modeling neural dynamics through the lens of theoretical physics.

Academic Appointments & Affiliations

  • Scholar (Incoming): NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) PhD Summer School.
  • Research Participant: MIT iQuHack (Interdisciplinary Quantum Information Science and Engineering).
  • Advanced Research Seminars: * Massachusetts Institute of Technology: Focus on AI & Fundamental Interactions.
    • University of Oxford: Focus on Computational Neuroscience and Deep Learning.

Contact & Collaboration

I am open to formal research collaborations and discussions regarding the future of AI in the fundamental sciences.
Professional Inquiries : 📩 namandixiit07@gmail.com

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    Talk Title Large-Scale Optimization for Geometry Processing ,Justin Solomon Associate Professor, EECS and CSAIL, Massachusetts Institute of Technology

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    we introduce Transformer-Empowered Q-Sup Ising Criticality-Inspired Reinforcement Learning (QSIC-RL), a hybrid neuro-physics architecture that integrates Transformer-based contextual encoding with …

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  5. NSF-AI-IAIFI-Summer-School-2026 NSF-AI-IAIFI-Summer-School-2026 Public

    The NSF IAIFI PhD Summer School 2026 is an intensive, interdisciplinary program focused on the intersection of Artificial Intelligence and Fundamental Physics . Organized by the **Institute for Art…

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  6. Max-Planck-Institute-Seminar-on-Life-Active-Matter-Physics- Max-Planck-Institute-Seminar-on-Life-Active-Matter-Physics- Public

    Attended MPI LMP Seminar: Pattern formation by turbulent cascades

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