About Me

I'm a computational biologist with an unwavering passion for uncovering the secrets of life hidden within vast datasets. Currently, at the Broad Institute's Imaging Platform, I'm leading a collaboration of 12 pharma companies and non-profit organizations to build the largest publicly available Cell Painting dataset, a project that has the potential to revolutionize drug discovery. My expertise lies in developing cutting-edge data analysis pipelines that accelerate the journey from research to real-world impact. 

I formerly worked as a Postdoctoral Associate at the University of Massachusetts Medical School, developing an algorithm for recognizing DNA copy number variations in noisy targeted sequencing data. 

My PhD journey in Biophysics kindled my fascination with understanding biological systems through computational, physical, and mathematical lenses. My thesis project involved the development of, PyPath, an algorithm that identifies the most probable pathway connecting two stable conformations of biomolecules. I also contributed to the understanding of the evolution of life by showing how two classes of primitive enzymes (t-RNA synthetases) could have evolved from the opposite DNA strands of the same ancestral gene. 

My passion for science extends beyond the lab, where I find inspiration in the cosmos, capturing its beauty through astrophotography (here are some of the pictures of the night sky that I have clicked over the years). When not immersed in data or gazing at the stars, you might find me cheering on my favorite sports teams, exploring the captivating worlds of comic books, or venturing through the Star Wars universe. 

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