I am Tirna Deb

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I am Tirna Deb, a PhD in Astrophysics, experienced in data-driven research, statistical data reduction, processing, modeling, machine learning, and programming. My expertise includes detecting faint signals, handling high-dimensional and noisy datasets, anomaly detection, and data visualization. I enjoy diving deep into complex datasets, uncovering hidden patterns, and translating raw data into meaningful discoveries with real-world impact. While my background is in astronomical research—studying galaxy evolution and radio astronomy—my expertise lies in extracting insights from complex datasets. During my PhD in the Netherlands, I investigated the mystery of galactic evolution and how the cosmic environments shape galaxy structures, applying advanced data analysis techniques along the way. After receiving the prestigious Rubicon fellowship, I moved to Harvard University to lead my own independent research as the principal investigator (PI) of a project I designed. As I navigate the intersection of data science, machine learning, and scientific research, I am actively working toward expanding my collaborations and broadening my expertise beyond academia. Though originally from India, I have lived and worked across four continents, shaping my perspective as a global citizen—open to new ideas while staying deeply connected to my roots.