Harrison Bo Hua Zhu
Scholar

Harrison Bo Hua Zhu

Google Scholar ID: lxWjjWYAAAAJ
Assistant Professor, University of Copenhagen
EpidemiologyPhylogeneticsInfectious DiseasesProbabilistic Machine LearningDeep Learning
Citations & Impact
All-time
Citations
5,907
 
H-index
15
 
i10-index
16
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • - Publications: For more information, please visit the 'Publications' page or Google Scholar.
  • - Passed PhD viva with minor corrections in January 2023.
Research Experience
  • - 2023-2024: Research Scientist at Fano, working on automatic speech recognition.
  • - Summer 2021: Applied scientist intern at Amazon in Cambridge, United Kingdom, supervised by James Hensman and Xiaoyu Lu.
  • - Member of the Imperial College London COVID-19 Response Team during the pandemic.
Education
  • - PhD: 2019-2023, Imperial College London, supervised by Seth Flaxman and Yingzhen Li, part of the EPSRC Centre of Doctoral Training in Modern Statistics and Statistical Machine Learning at Imperial and Oxford.
  • - MSci: 2015-2019, Mathematics, Imperial College London, with an academic year exchange at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland.
Background
  • - Research Interests: Leveraging probabilistic machine learning and deep learning methods for infectious disease modeling and phylogenetics. Specific topics include developing scalable and interpretable models for infectious disease modeling, including forecasting, nowcasting, and estimation of epidemiological parameters, and leveraging deep learning and probabilistic machine learning for phylogenetic inference and molecular epidemiology.
  • - Broadly interested in algorithmic designs for Bayesian deep learning, including approximate inference, sequential variational autoencoders, deep generative models, meta-learning, and Gaussian processes.
Miscellany
  • - Travel Map: Click here to view my travel map.
  • - Social Media: Twitter, LinkedIn, Github, Google Scholar.