Dr. Peter Flach

Professor

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Biography

Peter Flach is a professor in the Department of Artificial Intelligence at the University of Bristol. He has been a leading researcher in the fields of machine learning and artificial intelligence since 2003, having authored notable books such as 'Simply Logical: Intelligent Reasoning with Examples' and 'Machine Learning: The Art and Science of Algorithms that Make Sense of Data'. Over the past 25 years, he has contributed extensively to premier journals in the field and has served as Editor-in-Chief for the 'Machine Learning' journal. Flach’s research focuses on mining highly structured data, evaluating and improving machine learning models through ROC analysis, and integrating logic, probability, and philosophical concepts in AI. He is actively involved in various research programs funded by organizations like UKRI and EPSRC, currently serving as the Director for UKRI Centres of Doctoral Training in Interactive Artificial Intelligence and Practice-Oriented Artificial Intelligence. As a founding board member and current Vice-President of the European Association for Data Science, he plays a significant role in shaping the future of data-driven methodologies and human-centred artificial intelligence.

Research Interests

Experience

Professor

2003-01-01 — Present

University of Bristol • Bristol, England

Leading researcher in artificial intelligence and machine learning.

Requirements for University of Bristol

Doctorate Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:19
Reading
Required:20
Writing
Required:22
Speaking
Required:22
Total
Required:88
Prerequisites
Upper second-class MSci honours degree in physics or related discipline Or a relevant postgraduate MSc
Application Checklist
  • Online application form
  • Academic transcripts
  • Two academic references
  • Personal statement
  • Curriculum Vitae (CV)
  • Research statement/proposal
Specialization Notes

Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.