Hi, I am Sankha! I am a pre-doctoral Research Fellow at Microsoft Research India (MSRI). I work in the cryptography group (called EzPC) where I am advised by Dr. Satya Lokam, Dr. Nishanth Chandran and Dr. Divya Gupta.

I am broadly interested in applied cryptography, secure multi-party computation, differential privacy and privacy-preserving machine learning. sub-exponential cost for verification of FSS shares. Parallely, I am exploring the applications of FSS in private set intersection (PSI), secure aggregation and anonymous systems. My previous work was on differentially private secure multi-party training protocols for neural networks. This work has been converted into a publication, which will be appearing at the 25th Privacy Enhancing Technologies Symposium (PETS) 2025. Prior to joining MSRI, I have worked on problems in federated learning, blockchain and secure DNA matching during my undergraduate years.

I have a strong foundation in computer science fundamentals and have excellent programming skills suitable for building robust and efficient end-to-end systems. I will be an apt fit for problems which address practical concerns of user privacy and anonymity by formulating novel cryptographic primitives, while implementing the solution as a usable real-world deployment.

I graduated with a Bachelor of Engineering (B.E.) in Computer Science from BITS Pilani, India in July 2023. In the past, I have interned at American Express and Goldman Sachs as a software developer. I was also a Google Summer of Code (GSoC) student (2021) and a mentor (2022).