Dr. Hong Ge

Professor

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Biography

Hong Ge obtained his PhD from the University of Cambridge in 2016 and subsequently completed a postdoctoral position as a Junior Research Fellow at Darwin College. He is currently a Research Professor in the Machine Learning Group at the Department of Engineering and serves as a Research Lead at the Alan Turing Institute. Hong is a fellow of Darwin College, Cambridge. His research focuses on probabilistic machine learning, particularly in the areas of Bayesian inference, conceptual mathematical understanding, and neural networks. He has created a probabilistic programming language that has gained wide usage in research regarding computational statistics and machine learning.

Research Interests

Machine Learning Artificial Intelligence Bayesian Inference Neural Networks

Requirements for University of Cambridge

Master Program
Requirements
GPA Requirement
Required:3.7
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:25
Reading
Required:25
Writing
Required:25
Speaking
Required:25
Total
Required:110
Prerequisites
UK Bachelor's Degree with good Upper Second Class Honours or international equivalent Background in international relations, politics, law, economics, security or history is a definite asset
Application Checklist
  • Two academic references
  • Official transcripts
  • CV/Resume
  • Personal statement (approx 500 words)
  • Research proposal (1-2 pages/500 words)
  • Application fee (£50)
Specialization Notes

Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.