As an aspiring computer scientist and computational biologist, my work is primarily focused on these two disciplines.

In computer science, my primary areas of interest are algorithms, machine learning, sketching cryptography and computer security. In addition to my work in theoretical computer science, I have significant programming experience in Python, Java and R, and have worked with C, Go and Matlab before.

As a computational biologist, I am interested in the intersections of biology and computer science. My areas of interest are in algorithms (especially those pertaining to the problems we encounter computational biology), computational genomics, genomic privacy, big data analysis, cryptography and computer security.

I'm currently working with Dr. Mike Schatz at Johns Hopkins, as I pursue a PhD in Computer Science with a focus on Computational Genomics. My first project was "Sapling: Accelerating Suffix Array Queries with Learned Data Models", which focused on learned index structures/data models for genomics. It was published in Bioinformatics, and can be found here.

My latest work is "Sketching and sampling approaches for fast and accurate long read classification", which focuses on sketching and sampling approaches to speed up read classification compared to existing high-overhead index and alignment based methods. This work has been published in BMC Bioinformatics, and can be found here.

My current work focuses on investigating and improving the representation of South Asian genomes in existing genomic datasets, as well as evaluating the improvements offered by new linear and pangenome references. This work has been presented at Biology of Genomes 2023, and will be presented at ASHG 2023. Stay tuned for more exciting updates in the new future!

My Google Scholar page can be found here.

During my time at Brown, I worked with Dr. Sorin Istrail, as part of the Istrail Lab at Brown University. My senior thesis, supervised by Dr. Istrail, was on approaches in genomic privacy. The thesis can be found here. I hope it serves as useful resource to anyone interested in the wonderful intersection of cryptography and genomics.

While I was at Brown, I spent a considerable amount of time as a Teaching Assistant in the Computer Science department. Over the three years I served as TA, I helped teach over a thousand students - I held weekly TA hours, took part in development of teaching and testing materials, and spent hundreds of hours grading thousands of assignments.

In the summer of 2017, I worked with Dr. Michael Aupetit at QCRI on a visual analytic tool for exploring kinship information in Genome Wide Association Studies (GWAS). The package can be found on my Github page.

"KinVis: a visualization tool to detect cryptic relatedness in genetic datasets" is now available on Bioinformatics, and can be found here. An example of the visualizations provided by KinVis can be seen on the right. This visualization was generated for the 1000 Genomes Project.

I spent the summer of 2016 working on integrative bioinformatics for Big Data analysis in Cancer Genomics, focusing on biomarker discovery and pathway analysis, with Dr. Michele Ceccarelli at QCRI. My work involved integrating existing algorithms to create new ways to identify and visualize breakpoints in whole exome data - one such visualization is visible on the left.

In the summer of 2015, I worked with Dr. Jim Jansen (also at QCRI) on his eye-tracking research.

My work with Dr. Jansen consisted of working with eye-tracking technology and conducted research into how visual primers draw attention and affect human behavior and decision making.

On the right, you can see an example of a heatmap generated by eye-tracking technology - considering the heatmaps of various versions of images allowed us to identify the effects of priming.

Outside of the classroom, I was on the Brown Space Engineering team, which was working on Brown University’s own nano-satellite (more on that here!) and a teaching assistant in the Computer Science department for CS22 (Spring 2016, Spring 2017, Spring 2018) and CS1010 (Fall 2016 and Fall 2017).

In the past I have also participated at Hackathons (including Yale Hacks and Hack@Brown), as well as the annual Google Games event in Cambridge, Massachusetts (both in 2016 and in 2017).

Between 2017 and 2020, I was a writer and editor for Futhead and Futhead News. Futhead was the largest FIFA Ultimate Team community on the internet. I also helped organize Futhead's weekly FIFA Ultimate Team Tournament, Tuesday Night Football, which sees professional players battle it out for a grand prize. TNF averaged 2000-3000 viewers every stream during its 2020-2021 run.

From January to June 2017, I was a part time writer for SB Nation, where I served as an editor for FUTNation, a blog dedicated to the FIFA video game franchise, and a contributor to other soccer related blogs.