Dr. Susie Rao

Professor

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Biography

Susie Xi Rao is a Senior Scientific Researcher at ETH Zurich, affiliated with the Department of Management, Technology Economics (MTEC) and the ETH AI Center. Her research focuses on data knowledge management systems and multimodal machine learning pipelines, particularly in pattern mining and graph-structured textual data. She has been involved in projects funded by the Swiss Data Science Center, Swiss National Science Foundation, and Innosuisse, working on issues related to trade networks, fraud detection, and cleantech recommendation systems. Additionally, she serves as a Guest Lecturer at Lucerne University of Applied Sciences and Arts, where she leads lab exercises in Fraud Detection. Rao's interdisciplinary work spans economics, computer science, and information science, integrating AI methods with data fusion and knowledge graph applications. Her research interests also cover graph-structured data analysis, information extraction, and natural language processing, with applications in meta science, innovation, and urban development.

Research Interests

Requirements for ETH Zurich

Master Program
Requirements
GPA Requirement
Required:3.4
IELTS
Overall
Required:7
TOEFL
Total
Required:100
GRE General
Verbal
Required:159
Verbal Percentile
Required:80
Quantitative
Required:168
Quantitative Percentile
Required:81
Analytical Writing
Required:4.5
Writing Percentile
Required:85
Prerequisites
Bachelor's degree in a related field (Engineering, Natural Sciences, or Mathematics) Minimum 180 ECTS credits Subject-specific knowledge equivalent to ETH Bachelor's programs
Application Checklist
  • Bachelor's degree diploma or transcript
  • Official academic transcripts
  • Curriculum Vitae (CV)
  • Letter of Motivation (1 page)
  • Two academic recommendation letters
  • English language proficiency certificate
  • GRE General Test (for non-EU/EFTA applicants)
Specialization Notes

The GRE is mandatory for students who did not obtain their Bachelor's degree in an EU/EFTA state. Some departments (e.g., Computer Science) have specific ECTS credit requirements in core subjects.