IITD e-mail : cs1221594@iitd.ac.in

Personal e-mail : shahpoojan2004@gmail.com

Phone : +91 9924636975

About

I am a senior undergraduate student at the Department of Computer Science & Engineering at IIT Delhi. I also spent a semester at the Faculty of Mathematics at the University of Waterloo. I have worked on quantum-inspired classical algorithms and large scale data clustering at IIT Delhi advised by Ragesh Jaiswal and Rajendra Kumar, self supervised learning at Wadhwani AI hosted by Makarand Tapaswi, applied statistical learning at Atlas Research and quantum cryptographic primitives at the Computer Science Group of Center for Quantum Technologies hosted by Rahul Jain.

I spent my high school years studying physics. Aside from technical research, I am a percussionist with a particular interest in Indian classical instruments. I also spend scattered spans of time learning about language, religion, philosophy, natural sciences and anthropology. I frequently write on my personal blog and research blog.

News

  • Feb 2026 Glad to be invited for a lightning talk at ACM-ARCS 2026 and to attend the ACM India Annual Event
  • Dec 2025 I will be attending FSTTCS-2025 at BITS Goa !
  • Nov 2025 Starting a collaboration with Wadhwani AI for research on self supervised learning for anthropometry, under the guidance of Makarand Tapaswi !
  • Oct 2025 Our work was featured by CSE-IITD's blogpost ! Have a look at it here.

Research Interests

Broadly speaking, I am interested in the study of the world from a theoretical perspective. Specific interests, which tend to grow as time goes on include data clustering, quantum computing, statistical learning and algorithm design for modern information processing.

Publications

1. Quantum (inspired) D²-sampling with applications
Poojan Shah and Ragesh Jaiswal
ICLR 2025 — The Thirteenth International Conference on Learning Representations

Preprints

1. A new rejection sampling approach to k-means++ with improved trade-offs
Poojan Shah, Shashwat Agrawal and Ragesh Jaiswal
2025

Talks

1. Quantum and Quantum Inspired Classical Algorithms for Clustering
CS Group Meeting CQT - NUS, April 20, 2025
2. Quantum Machine Learning without any Quantum
TCS Seminar, IIT Delhi — Bharti 501, November 4, 2024

Teaching

Teaching Assistant for COL7160 : Quantum Computing, Winter 2026