Recent News

  • Jan 2026: I won "Innovation in Research” award at the Microbes in Wastewater.

  • Oct 2025: We released a preprint of our Large Scale SARS-CoV-2 Recombination Study on medRxiv.

  • Sep 2025: I passed my Qualification Exam and became a PhD Candidate.

  • Jun 2025: We released a preprint of WEPP on medRxiv.

  • Jun 2024: I passed my Prelims Exam and completed course requirements.

  • Apr 2024: Co-organized 1st in conjunction with ASPLOS 2024.

  • Mar 2024: Served as Artifact Evaluator at ISCA 2024.

  • Jun 2023: Started summer internship at Intel.

  • Jan 2023: Joined Turakhia Lab as a PhD student.

  • Sep 2023: Presented TermiNETor at SRC 2022 Austin.

  • Aug 2023: TermiNETor accepted at ICCD 2022.

  • Jun 2022: Started summer internship at Intel.

  • Sep 2021: Joined SEELab as a PhD student.

Projects

WEPP: Wastewater-Based Epidemiology using Phylogenetic Placements

Wastewater contains a treasure trove of public health information, including genetic traces of viruses and bacteria circulating in a community. However, this data is highly complex — more like a puzzle with millions of mixed-up pieces. WEPP is a powerful tool designed to solve this puzzle far more effectively than existing methods.

WEPP analyzes small fragments of genetic material (sequencing reads) from wastewater and accurately places them onto a pathogen’s “family tree,” known as a phylogenetic tree. By doing so, WEPP identifies the specific nodes in the tree, corresponding to unique genome sequences, from which these fragments most likely originated. This higher resolution allows public health officials to not only determine which pathogen variants are present in a community, but also to identify emerging strains before they receive an official designation. Such early detection is critical for monitoring outbreaks and enabling timely, effective public health responses.

Learn More Watch Demo

metaWEPP: Improving resolution of metagenomic analysis using WEPP

While WEPP is designed to detect specific pathogens in wastewater, metaWEPP extends this approach to complex environmental samples—such as soil, water, air, and bodily fluids like cell-free DNA—that contain genetic material from many different organisms. Rather than a single puzzle, these samples resemble thousands of puzzles mixed together.

metaWEPP efficiently untangles this complexity by first identifying which organism each genetic fragment belongs to, and then applying WEPP to identify the specific genome variants for each organism. This enables a detailed view of the microbial composition of a sample, supporting applications ranging from clinical diagnostics to environmental and ecological monitoring.

Learn More

Publications

, "metaWEPP: Phylogenetic Placement Enables Near-Haplotype Resolution of Metagenomic Samples", under submission RECOMB, 2026.
, , medRxiv, 2025.
, , medRxiv, 2025.
, , IEEE Transactions on Emerging Topics in Computing, 2025.
, , IEEE 40th International Conference on Computer Design (ICCD), 2022.

PDF

, , IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), 2019.

PDF

, , IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), 2019.

PDF