Computational
Biology
& Genomics
Bioinformatics researcher focused on pathogen genomics, metagenomics, sequencing workflows, epidemiology and computational biology.
Bioinformatics researcher focused on pathogen genomics, metagenomics, sequencing workflows, epidemiology and computational biology.
I am a Project Research Scientist (Bioinformatics) at Gujarat Biotechnology Research Centre (GBRC), India. My research combines microbial metagenomics, viral & bacterial genomics, and computational approaches to understand pathogen evolution, transmission dynamics, and host-pathogen interactions within the One Health framework.
I work extensively with long & short read sequencing datasets, developing scalable analytical workflows for metagenomics, microbial characterization, mutational profiling, and genome reconstruction.
Beyond bioinformatics, I enjoy exploring Gujarati literature, scouting new culinary ideas, and occasionally challenging the status quo.
Viral & Bacterial Genomics · Metagenomics · AI in Biology · Evolutionary Medicine
Python · R · Bash · Nextflow · Tensorflow · PyTorch
I am particularly fascinated by how viral and bacterial genomes continuously adapt across hosts, environments, and transmission networks, often leaving behind evolutionary and ecological signals that remain computationally underexplored.
I am deeply interested in exploring what I often think of as the “metagenomic dark matter” — the vast amount of biological information hidden within large-scale sequencing datasets that remains computationally underexplored. My work focuses on developing computational and evolutionary approaches for genome-resolved metagenomics, s-level characterization, and pathogen surveillance. I am particularly interested in integrating Machine Learning, Artificial Intelligence, and evolutionary modeling to improve species detection, reduce false-positive identifications, and uncover hidden ecological and evolutionary patterns within microbial communities.
Long-read tech is noisy. Designing computational frameworks for reducing sequencing noise and improving accuracy in long-read genomic data is in my to-do list.
Mathematics intrigues me! I think of integrating AI, mathematical modeling, and computational biology to develop large-scale frameworks for infectious disease prediction, outbreak modeling, and accurate identification of known and novel species from metagenomic datasets.
Building computational and metagenomic surveillance frameworks for monitoring zoonotic spillovers across environmental, animal, and human interfaces.
AES/AFI surveillance for epidemiological insights into prevalance of Chandipura virus in Gujarat, India
Machine learning approaches for transcriptomic profiling and tumor subtype classification.
Molecular Oncology · 2024
View PublicationJournal of Biomolecular Structure and Dynamics · 2023
View PublicationStructural Chemistry · 2022
View PublicationI had an opportunity to present a poster, titled,"Detection of Rhinovirus A and B among bird sanctuary workers during syndromic surveillance, with One-Health approach." at VIROCON,2025, India. At VIROCON, it was an interdisciplinary platform for knowledge exchange & fostering connections in genomics, diagnostics, vaccines and antivirals.
If you've made it this far, I'd be glad to connect. Whether you're interested in collaborating in bioinformatics or computational biology, discussing research, or simply talking science — feel free to reach out.