• 240 Citations
  • 9 h-Index
20082020

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

I joined Coventry University as a Senior Lecturer in Data Science in 2018. Before joining Coventry, I previously held research positions at Imperial College London (Theoretical Systems Biology group), University of Sheffield, and University of Manchester (Manchester Centre for Integrative Systems Biology). My research has focused on developing statistical machine learning and control systems engineering approaches to study the complex regulatory mechanisms in cellular (metabolic, genetic) networks, as well as complex nonlinear interactions in human brain network that relate to neurological disorders/diseases (e.g. Alzheimer’s disease, seizures).

I received a PhD and an MSc (distinction) in control engineering from the University of Manchester. I am editorial board member of Frontiers in Computational Neuroscience, and have served as reviewer for a number of peer-reviewed journals (including 4 IEEE Transactions, Proceedings of IEEE, Automatica, IET Systems Biology, Biophysical Journal, Int. J. Syst Science, Entropy). I am also the reviewer for international funding bodies (including EPSRC).

Teaching:

  • Module leader - 7037CEM, Machine Learning
  • Module leader - 7089CEM, Introduction to Statistical Methods for Data Science
  • Lecturer - 230MP Advanced Matlab: Data Science and ML
  • Supervisor - 300COM Final year project, M08CDE MSc project
  • Module leader - CPE6005/CPE422 Bio-systems Engineering and Computational Biology, 2015 - 2017, University of Sheffield.

Research Interests

Computational systems biology

  • Bayesian inference for parameter estimation and model selection
  • Optimal and Bayesian model-based experimental design
  • Network inference for complex biochemical regulatory pathways

Nonlinear systems identification and causality analysis for neuroscience

  • NARMAX model-based nonlinear frequency analysis & causality analysis
  • Nonlinear time-frequency modelling and diagnosis of neurological disorders (e.g. seizures, Alzheimer’s disease) based on neurophysiological recordings: EEG, EMG, fMRI

PhD Project

If you are interested to do a PhD in statistical machine learning, Bayesian inference, nonlinear signal processing/system identification with possible applications in biology or neuroscience, please get in touch with me.

  • I have a new fully-funded PhD studentship (Sep 2020, jointly with Dr Laura Roden) on computational systems biology & gene network inference for plant defence system, for more details see FindaPhD or CU Link (as a part of the Coventry GCRF programme) -- please email me your CV if interested.
  • I have a fully-funded joint PhD studentships (international) with Singapore A*STAR starting Sep 2020 on network inference & computational biology (dynamic modelling and Bayesian). For details, see the FindaPhD link. Application deadline has been extended to the end of May 2020!

 

Fingerprint Dive into the research topics where Fei He is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation

Tankhilevich, E., Ish-Horowicz, J., Hameed, T., Roesch, E., Kleijn, I., Stumpf, M. P. H. & He, F., 5 Feb 2020, In : Bioinformatics.

Research output: Contribution to journalArticle

Open Access
File
  • 6 Downloads (Pure)

    GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation

    Tankhilevich, E., Ish-Horowicz, J., Hameed, T., Roesch, E., Kleijn, I., Stumpf, M. PH. & He, F., 18 Sep 2019

    Research output: Practice-Based and Non-textual ResearchWeb publication/site

  • Parametric and non-parametric gradient matching for network inference: a comparison

    Dony, L., He, F. & Stumpf, M. P. H., 25 Jan 2019, In : BMC Bioinformatics. 20, 1, 12 p., 52.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 10 Downloads (Pure)

    Quantifying Dynamic Regulation in Metabolic Pathways with Nonparametric Flux Inference

    He, F. & Stumpf, M. P. H., 21 May 2019, In : Biophysical Journal. 116, 10, p. 2035-2046 12 p.

    Research output: Contribution to journalArticle

  • A pilot study investigating a novel non-linear measure of eyes open versus eyes closed EEG synchronization in people with alzheimer’s disease and healthy controls

    Blackburn, D. J., Zhao, Y., De Marco, M., Bell, S. M., He, F., Wei, H. L., Lawrence, S., Unwin, Z. C., Blyth, M., Angel, J., Baster, K., Farrow, T. F. D., Wilkinson, I. D., Billings, S. A., Venneri, A. & Sarrigiannis, P. G., 17 Jul 2018, In : Brain Sciences. 8, 7, 134.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 2 Citations (Scopus)
    14 Downloads (Pure)

    Activities

    • 2 Invited talk
    • 1 Editorial activity

    Frontiers in Computational Neuroscience (Journal)

    Fei He (Editorial Board Member)
    26 Mar 2020 → …

    Activity: Publication peer-review and editorial workEditorial activity

    Bayesian experimental design for stochastic biochemical networks

    Fei He (Speaker)
    17 Apr 2018

    Activity: Talk or presentationInvited talk

    Model-based experimental design in systems biology

    Fei He (Speaker)
    25 Oct 2018

    Activity: Talk or presentationInvited talk