Hongpeng Zhou

Dr

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Biography

Dame Kathleen Ollerenshaw Fellow at the Computer Science Department of the University of Manchester in the United Kindom. My research project is on "AI for cancer research - Interpretable machine learning to uncover biological mechanisms". My research interests are machine learning, deep learning, Bayesian learning, interpretable learning and bioinformatics. 

I was a postdoc research associate at Prof.Magnus Rattray's group - Division of Informatics, Imaging and Data Sciences at the Faculty of Biology, Medicine and Health of the University of Manchester. My research project was to develop machine learning algorithms to reveal biological mechanisms behind single-cell transcriptomics data. 

I received my PhD degree at the department of Cognitive Robotics of the Delft University of Technology in the Netherlands, supervised by Prof.Martijn Wisse and Dr. Wei Pan. My PhD work was developing Bayesian deep learning algorithms for neural network compression, neural architecture search, interpretable deep learning and system identification. I received my Bachelor's and Master's degrees at the department of Control Science and Engineering of Harbin Institute of Technology in China, supervised by Prof.Shen Yin. 

Research interests

Machine learning, deep learning, Interpretable learning, and bioinformatics. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Doctor of Philosophy, Bayesian deep learning for system identification , Technische Universiteit Delft

1 Sept 201812 May 2022

Award Date: 12 May 2022

Master of Engineering, Data-Driven Approach for the KPI Prediction on Vehicle Obstacle Avoidance, Harbin Institute Of Technology

15 Sept 20156 Jul 2017

Award Date: 6 Jul 2017

Bachelor of Engineering, Intelligent Particle Filter on Fault Detection of Nonlinear System, Harbin Institute Of Technology

11 Sept 201115 Jun 2015

Award Date: 15 Jun 2015

Areas of expertise

  • QA75 Electronic computers. Computer science
  • Q Science (General)

Research Beacons, Institutes and Platforms

  • Digital Futures

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