Pritam Chandra

I am a mathematician, currently at Ashoka University, working in Matrix Analysis with Prof. Rajendra Bhatia. Previously, I worked in Theoretical Computer Science and Machine Learning theory at Microsoft Research India under Neeraj Kayal and Ankit Garg; and in Post-quantum Cryptography with Prof. Mahavir Jhanwar at Ashoka Mphasis Lab.

I am actively seeking graduate programs in Math and Computer Science, as well as relevant industry positions. Please feel free to get in touch via email.

This page contains a summary of work experiences. Some of what I create, academic and/or aesthetic, will feature in my blog.

Select Journal Publications

• 2.Cartesian Decomposition and Schatten Norms: On the Sharpness of Some Inequalities of Bhatia and Zhan

  Pritam Chandra

  2026 · Indian Journal of Pure and Applied Mathematics

• 1.Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning

  Pritam Chandra, Ankit Garg, Neeraj Kayal, Kunal Mittal, Tanmay Sinha

  2024 · Innovations in Theoretical Computer Science (ITCS)

Select Preprints and Working Papers

• 5.Various Order Relations between Some Matrix Means

  Rajendra Bhatia, Pritam Chandra

  2026 · In submission at Acta Scientiarum Mathematicarum

• 4.An Elementary Introduction to Smoothing Parameter Bounds

  Pritam Chandra

  2026 · Manuscript in preparation for the Cryptology ePrint Archive

• 3.An Exposition on Fast Fourier Orthogonalization

  Pritam Chandra

  2025 · An elementary presentation of central ideas behind the(post-quantum) state-of-the-art signature scheme Falcon.

• 2.Towards Analyzing Self-Attention via Linear Neural Networks

  Pritam Chandra, Ankit Garg, Neeraj Kayal, Kunal Mittal, Tanmay Sinha

  2024 · Under revision for the International Conference on Learning Representations (ICLR)

• 1.Norm Inequalities Related to the Cartesian Decomposition of matrices

  Pritam Chandra

  2022 · Undergraduate Capstone Thesis written under Rajendra Bhatia

Teaching Experience

In the capacity of a teaching fellow (TF), I have co-instructed the courses Real Analysis (2026), Matrix Analysis (2025), Topics in Matrix Analysis (Advanced Matrix Analysis) (2025) and Fourier Analysis (2026) with Prof. Rajendra Bhatia. I have also been a TF with Prof. Abhishek Khetan for the course Probability and Statistics (2026).

Apart from this, while I was an undergraduate at Ashoka University, I have served as a teaching assistant for the courses Discrete Mathematics, Linear Algebra, Algorithm Design and Analysis and Matrix Analysis.

Select Lecture Notes

Academic Service

• 2026 · Two reviews for the journal Linear Algebra and its Applications; contribution acknowledged in the published article.