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My research is driven by a central thesis: break through the computational bottlenecks that slow progress in biology and medicine.

I’m a researcher at the Broad Institute of MIT and Harvard, at the Langer and Traverso Labs at MIT, and at ETH Zurich. My work spans bioinformatics, clinical genomics, medical computing, drug delivery, and early cancer detection. Across these areas, I design systems—both computational and experimental—that are fundamentally more performant, efficient, and insightful, with the goal of accelerating progress in computational biology and medicine.

I’ve co-developed systems like GenStore and MegIS, the first in-storage processing architectures for genomics and metagenomics. These systems eliminate traditional data movement bottlenecks by tightly co-designing hardware and software, delivering order-of-magnitude performance improvements. In a recent project, MetaTrinity, we tackled the long-standing speed-versus-accuracy tradeoff in metagenomic analysis, making high-precision analysis viable in real-world clinical settings.

A unifying principle behind this work is what I call Computational Sparsification: training systems to ignore noise and irrelevant data and focus only on the essential biological signals that determine patient outcomes. It’s a strategy that scales not just speed but insight.

I also translate research into real-world tools. I co-founded NextGuide, where we built AI assistance technology for visually impaired individuals—work that has been featured in various national media. Most recently, I joined def/acc at Entrepreneur First to focus on commercializing parts of my research on AI-controlled metagenomics.

My recent academic path includes research at CERN, the University of Cambridge, IBM Research, and the SAFARI Research Group at ETH Zurich and Carnegie Mellon, under the mentorship of Prof. Onur Mutlu. I’ve published several works on bioinformatics, metagenomics, and clinical genomics.

My work has been recognized with several awards and merit-based scholarships, including the Swiss Study Foundation, an organization dedicated to supporting the top 0.3% of students based on academic impact, creativity, and character. Some recent examples include the Entrepreneurial Excellence Award and Best Thesis Awards. See a full list here.

At ETH Zurich, I teach a project-based course on Clinical Genomics, offered each semester to a select group of students. I actively mentor thesis and semester projects, many of which lead to standalone publications. All our software and benchmarks are openly available.