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
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2026
Cartesian Decomposition and Schatten Norms: On the Sharpness of Some Inequalities of Bhatia and Zhan
Indian Journal of Pure and Applied Mathematics
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2024
Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning
Innovations in Theoretical Computer Science (ITCS)
Select Preprints and Working Papers
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2026
Various Order Relations between Some Matrix Means
In submission at Acta Scientiarum Mathematicarum
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2026
An Elementary Introduction to Smoothing Parameter Bounds
Manuscript in preparation for the Cryptology ePrint Archive
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2025
An Exposition on Fast Fourier Orthogonalization
An elementary presentation of central ideas behind the(post-quantum) state-of-the-art signature scheme Falcon.
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2024
Towards Analyzing Self-Attention via Linear Neural Networks
Under revision for the International Conference on Learning Representations (ICLR)
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2022
Norm Inequalities Related to the Cartesian Decomposition of matrices
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
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2026
Lecture Notes for Probability and Statistics
During Teaching Fellowship, Ashoka University
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2025
Lecture Notes for Matrix Analysis
During Teaching Fellowship, Ashoka University
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2026
Lecture Notes for Real Analysis
(In progress) During Teaching Fellowship, Ashoka University
Academic Service
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2026
Two reviews for the journal Linear Algebra and its Applications; contribution acknowledged in the published article.