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Saptarshi Sinha, Ph.D.
Director, Center for PreCSN
"Everything is connected." That simple observation has guided my scientific journey—from studying molecular interaction networks to developing computational frameworks that reveal the biological logic underlying health and disease.
At PreCSN, we integrate systems biology, interpretable AI, and large-scale human datasets to transform complex biological information into actionable networks. Our goal is not simply to find patterns, but to uncover the mechanistic principles that explain how cells, tissues, and diseases adapt—and to translate those insights into better diagnostics, therapeutics, and human-relevant models.
We are building an interdisciplinary environment where computation, biology, and medicine converge to tackle some of the most challenging problems in human health."
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Pradipta Ghosh, M.D.
Founding Director, Center for PreCSN
"Cells do not make random decisions—they reason through networks. Our role is to discover the rules of that reasoning. PreCSN develops interpretable computational frameworks that uncover the first principles governing biological decision-making, enabling human-centered prediction, benchmarking, and therapeutic discovery."