We design the device, culture the tissue inside it, instrument it with sensors, and standardize the resulting measurements — physiologically faithful in vitro models on one side, and the AI-based methods that make their data comparable on the other.
We develop next-generation platforms that recapitulate the physiological microenvironments of human tissues and organs, producing the structured data that anchors everything downstream.
Biosensors are integrated directly into organoid-on-chip devices, digitizing physiological signals in real time rather than at fixed endpoints.
Using microfluidic control of force and flow, we quantify how mechanical cues are transduced into biological responses at the cellular level.
Using data generated on our own platforms, we develop machine learning approaches that standardize analysis across experiments, devices, and labs — in support of precision medicine.
Undergraduate interns, master's and doctoral candidates — if the work here interests you, reach out directly.
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