{"id":20582,"date":"2026-06-26T11:00:47","date_gmt":"2026-06-26T15:00:47","guid":{"rendered":"https:\/\/www.rochester.edu\/coe\/?p=20582"},"modified":"2026-07-01T13:34:44","modified_gmt":"2026-07-01T17:34:44","slug":"phlotonics-zihan-frannie-zheng","status":"publish","type":"post","link":"https:\/\/www.rochester.edu\/coe\/phlotonics-zihan-frannie-zheng\/","title":{"rendered":"Phlotonics – Zihan (Frannie) Zheng"},"content":{"rendered":"

\"logo<\/a>\"AThis internship offers a student the opportunity to apply data science and AI techniques to real-time biosensing and biomedical technology development. The intern will build data pipelines and use analytical tools that transform raw photonic and microscopy data into meaningful biomarker insights, dashboards, and automated reports. Throughout this work, they will gain experience with time-series analysis, signal processing, anomaly detection, and machine learning in a regulated-adjacent research environment. This project also provides exposure to developing scalable data tools which support next-generation biosensing and biomanufacturing applications.<\/p>\n","protected":false},"excerpt":{"rendered":"

This internship offers a student the opportunity to apply data science and AI techniques to real-time biosensing and biomedical technology development. 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