Dr. Sze Ee Soh

Assistant Professor

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Biography

Dr. Sze Ee Soh is a research-focused academic at the University of Melbourne with a strong background in the intersection of data science and engineering. His research interests include advanced data analytics, machine learning, and the development of algorithms that integrate these disciplines into practical solutions. He has a particular focus on applications in healthcare and environmental sustainability. Throughout his career, Dr. Soh has contributed significantly to academic literature and is recognized for his expertise in data-driven decision-making processes. He actively collaborates with various research teams to enhance the application of machine learning techniques in real-world scenarios, aiming to bridge the gap between theoretical research and practical implementation. Dr. Soh's work not only advances academic knowledge but also aims at addressing pressing global challenges through innovative data solutions.

Research Interests

Experience

Assistant Professor

2020-02-01 — Present

University of Melbourne • Melbourne

Engaged in research and teaching in the areas of computer science, focusing on machine learning and data analytics.

Requirements for University of Melbourne

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:16
Reading
Required:16
Writing
Required:19
Speaking
Required:19
Total
Required:81
PTE
Listening
Required:60
Reading
Required:60
Writing
Required:60
Speaking
Required:60
Overall
Required:64
Prerequisites
Undergraduate degree in a cognate discipline (Computer Science, Data Science, or Statistics) MAST10006 Calculus 2 MAST10007 Linear Algebra At least 12.5 credit points of computer programming subjects
Application Checklist
  • Academic Transcripts
  • Graduation Certificate
  • Evidence of English Proficiency
  • CV/Resume
  • Statement of Purpose