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Reetoja Nag
Reetoja Nag
Institution
Emory University: Department of Biomedical Engineering
Introduction
Hi, I’m Reetoja. I’m a researcher in biomedical engineering, and my work focuses on using data and computational methods to study problems in human health, especially cancer. I enjoy working with data, building models, and figuring out how to turn complex questions into clear, structured problems that can actually be solved. I’ve also spent a good amount of time mentoring and teaching in my previous roles, and I really enjoy that part of my work. I like helping students take an initial idea and shape it into a focused project, guiding them through how to think about research questions, methods, and results. I try to keep things practical and approachable, especially for students who are new to research. Outside of work, I enjoy learning new things and exploring areas beyond my field. I like reading, trying out new tools and technologies, and generally staying curious. I’m also currently learning to play the sitar and practicing Kathak, which I find both challenging and rewarding.
Top Fields
Engineering, Medicine & Public Health, Interdisciplinary / Emerging Fields
Research Areas
This mentor can support students working on biomedical data science, health analytics, machine learning, and data-driven research. They are comfortable helping students analyze health or biomedical datasets, build simple predictive models, and use computational methods to study human health, disease patterns, treatment outcomes, and real-world biomedical questions.
They can also mentor projects in biomedical imaging and image analysis, computational approaches to cancer biology and the tumor microenvironment, translational research, and biomarker discovery. Their interests include projects that connect data analysis to clinical or biological insights, such as identifying indicators of disease risk or outcomes.
Background
I am a computational researcher in biomedical engineering with several years of experience applying data-driven methods to study cancer. I completed my PhD in Biomedical Engineering from the Vellore Institute of Technology, where I worked on analyzing different types of microscopic images (including optical, fluorescence, and electron microscopy) to detect early signs of oral precancer using computational techniques.
Following my PhD, I worked as a postdoctoral researcher at Case Western Reserve University and later at Emory University. My postdoctoral research focused on analyzing large-scale medical imaging datasets, particularly digital pathology images, to identify patterns that can help predict disease outcomes and treatment response. I have developed projects that combine image analysis, machine learning, and clinical data to better understand how tumors behave.
Overall, my research experience is centered on using data, modeling, and computational tools to answer important questions in human health, and I enjoy translating complex research ideas into structured, manageable projects.