Dr. Mei Shen

Assistant Professor

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Biography

Professor Shen received her Ph.D. from the University of Texas at Austin in 2011 under the guidance of Professor Allen J. Bard. Subsequently, she conducted postdoctoral research under Professor Shigeru Amemiya at the University of Pittsburgh in 2012. Her research focuses on the interface of nanoscience and electrochemistry within the field of neuroscience, particularly examining neurotransmission at nanobiological structures and single synaptic clefts. Her lab is developing nanosensor probes for the multifunctional detection of neurotransmitters, aiming to overcome the limitations of current detection methods for non-redox active neurotransmitters, which are critical for memory health. The Shen lab employs multi-disciplinary approaches, including nanotechnology and interfacial chemistry, to achieve high spatiotemporal resolution in detecting neurotransmitter release and uptake. She also explores challenges associated with measuring biological processes at the nanoscale, especially within the synaptic cleft which typically measures less than 100 nm. Professor Shen actively contributes to the academic community, elucidating the chemical and structural complexities of biomaterials using nanosensor technologies.

Research Interests

Awards

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ACS Arthur F. Findeis Award

2021-01-01
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Scialog Fellow Microbiome, Neurobiology Disease

2020-01-01
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NSF CAREER award

2019-01-01
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Award Excellence Guiding Undergraduate Research, Office Provost, University of Illinois at Urbana-Champaign

2019-01-01
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NSF CHE Early Career investigator workshop travel award

2019-01-01
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NIH Exploratory/Developmental Research Grant Award

2013-01-01
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Professional Development Award

2011-01-01
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Lochte Fellowship

2007-01-01

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.