Mayank Keoliya

Hi! I’m a final-year undergraduate at the National University of Singapore, where I study computer science and a bunch of other things.

I love wondering about programming languages (especially ones with λs), so I work on PL research at the VERSE Lab on formal verification and compilers. I’m currently looking for opportunities to continue my research at grad school or industry.

I want to make PL and hacker culture more fun for beginners. I help out at NUS Hackers to make that happen.

I enjoy reading, going on hikes, playing racquet sports, writing, and spending hours discovering music.

papers

Simulating Noisy Channels in DNA Storage

M. Keoliya, P. Sharma, and D. Jevdjic

IEEE International Symposium on Performance Analysis of Systems and Software, May 2022

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Compared to conventional storage mediums, DNA-based data storage offers benefits such as durability, high density and low energy consumption. With increased demand for DNA data storage, it has become important to quickly evaluate proposed approaches. However, experiments that involve reading and writing synthetic DNA are costly and time-consuming, thus requiring cheap and fast simulation prior to experimentation. DNA sequencing technologies such as Nanopore and Illumina have highly characteristic error profiles, and simulating them is challenging. We propose a DNA simulator for Nanopore data that improves on existing simulators by incorporating key parameters; our simulator better converges to error profiles of real data on most parameters. We show that the spatial distribution of errors within a strand is a key determinant of trace reconstruction accuracy; which is a factor that had not been considered by existing simulators.