Aniruddha Bora

Aniruddha Bora

I’m Aniruddha Bora, an incoming Assistant Professor in the Department of Computer Science at Texas State University, starting Fall 2025.

My research lies at the intersection of computer science, applied mathematics, and scientific computing, with a focus on developing robust and interpretable machine learning algorithms for solving complex real-world problems. I specialize in physics-informed machine learning, operator learning, and hybrid modeling techniques that combine domain knowledge with modern AI.

Research Interests

  • Physics-Informed and Scientific Machine Learning
  • Generative AI for Scientific Modeling
  • Interpretable Scientific Machine Learning
  • Surrogate Modeling for Multiphysics Systems
  • Multi-Fidelity and Data-Efficient Learning
  • Numerical Methods + AI for Scientific Discovery
  • Inverse Design for Metamaterials
  • Symbolic Regression and Grey box modelling

Recruiting Ph.D. Students (Fall 2026)

I am currently recruiting two fully funded Ph.D. students to join my research group in Fall 2026 at Texas State.
If you’re interested in working on:

  • Machine learning for physical systems
  • Scientific and interpretable AI
  • Computational modelling using AI

…feel free to reach out at aniruddhabora@gmail.com with your CV and research interests.

Students with backgrounds in computer science, applied mathematics, or physics/engineering with ML experience are especially encouraged to apply.

Current Role

I am currently a Postdoctoral Research Associate in the Department of Applied Mathematics at Brown University, where I collaborate on interdisciplinary research involving physics-informed AI for climate and materials science.