Shuhan Jiang

Shuhan Jiang is a Postdoctoral Researcher at the Max Planck Institute for the Science of Light (MPL) in Erlangen, Germany, affiliated with the Department of Guck Marquardt and the Department of Sandoghdar. Her work focuses on advanced biophysical methods to study extracellular vesicles, particularly in the context of pregnancy-related disorders.

Her educational background includes:

• Medical Degree, Guangzhou Medical University, China (2013–2018)
• MSc in Reproductive & Developmental Biology, Imperial College London, UK (2018–2019)
• DPhil, University of Oxford, under Prof. Manu Vatish, focusing on placental extracellular vesicles in preeclampsia

Her research centers on extracellular vesicles, particularly placental small extracellular vesicles (sEVs) and their role in preeclampsia. She utilizes interferometric scattering microscopy (iSCAT) to characterize vesicle dynamics and interactions with recipient cells. Her work bridges clinical obstetrics and biophysical innovation, aiming to develop early diagnostic tools for pregnancy complications.

The recent publications highlight a strong trend in translational reproductive medicine, with a focus on identifying biomarkers for early-onset preeclampsia using minimal serum samples. Her work also extends into clinical trial methodology, particularly in oncology, where she has contributed to analyses of assessment bias in phase III trials.

Scientific contributions include:

• Development of ExoCounter assays for early preeclampsia detection
• Identification of novel protein biomarkers in syncytiotrophoblast-derived EVs
• Investigation of STB-EV dynamics in maternal-fetal communication
• Methodological contributions to clinical trial assessment reliability

She has not been listed with formal advisees or grants in the provided text. However, her research is conducted within collaborative teams at the University of Oxford and the Max Planck Institute for the Science of Light, where she works in a group led by Prof. Vahid Sandoghdar, a leader in biophotonics and single-molecule detection.