Dr. Marios Georgiadis

Instructor

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Biography

Marios Georgiadis is an Instructor in the Department of Radiology at Stanford University, specializing in neuroimaging. His research primarily investigates brain microstructure using advanced imaging techniques such as X-ray, MRI, and optical approaches, with a particular focus on Alzheimer's disease and hippocampal neurodegeneration. He has a special interest in exploring myelin and iron distribution. Marios is actively involved in projects related to imaging modeling for brain trauma and studying exosome signatures in neurodegeneration. His current research is supported by the National Institutes of Health, the Alzheimer's Association, and the American Society of Neuroradiology. Marios received his training in mechanical engineering from the National Technical University of Athens and has furthered his expertise with an MSc in Biomedical Engineering from ETH Zurich, where his work earned him the ETH medal. He completed his PhD in Bone Biomechanics at ETH Zurich, focusing on X-ray scattering methods to analyze bone microstructure. Furthermore, he has collaborated with leading researchers and institutions in the field, contributing significantly to the study of brain microstructure through innovative imaging methods.

Research Interests

Experience

Instructor

2023-01-01 — Present

Stanford University • Stanford, CA

Focus on teaching and research in neuroimaging and its applications in neurodegenerative diseases.

Awards

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American Society Neuroradiology Grantee

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Alzheimer's Association Research Fellow

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Swiss National Foundation Advanced Postdoc Mobility Fellow

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Swiss National Foundation Early Postdoc Mobility Fellow

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2nd Student Award

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ETH Medal

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.