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/socioeconomic data, sensor data) Contributing to translational research that tightens the loop between engineering innovation and clinical practice Disseminating findings through high-impact journals, conferences
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passive seismic part of the project, including field deployment of sensors, detecting and locating icequakes, computing icequake source parameters, and detecting glaciohydraulic tremor. The ideal candidate
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central controller). ● Develop and validate calibration methods for new sensors for turbidity and existing commercial sensors. ● Explore high-frequency turbidity monitoring as a tool for assessing
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, and iterate the design of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). ● Develop and validate calibration methods for new sensors for turbidity and
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-dimensional datasets (EHR, claims, environmental/socioeconomic data, sensor data) • Contributing to translational research that tightens the loop between engineering innovation and clinical practice
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platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc. • Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) • Co-designing tools