• 225 Citations
  • 9 h-Index
20082019
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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 have served as reviewer for a number of international peer-reviewed journals (including 3 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.

  • Currently I have 2 fully-funded joint PhD studentships (1 international, 1 UK/EU) with Singapore A*STAR starting May 2020 on network inference & computational biology (dynamic modelling and Bayesian) - please email me your CV if you are interested. For details, see the FindaPhD link.
  • I have a fully-funded PhD programme available on computational neuroscience & machine learning (closed).

 

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.

Design of experiments Engineering & Materials Science
Systems Biology Medicine & Life Sciences
Electroencephalography Medicine & Life Sciences
Metabolic Networks and Pathways Medicine & Life Sciences
Metabolic Engineering Medicine & Life Sciences
Model structures Engineering & Materials Science
Tremor Medicine & Life Sciences
Nonlinear systems Engineering & Materials Science

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

Research Output 2008 2019

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, In : bioRxiv. p. 769299 1 p.

Research output: Contribution to journalArticle

Biological systems
Stochastic models
Costs
Systems Biology
7 Downloads (Pure)

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
Differential equations
Gradient
Gene expression
Gene Expression
Reverse engineering

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

Metabolic Networks and Pathways
Systems Biology
Gene Expression
2 Citations (Scopus)
11 Downloads (Pure)

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
Electroencephalography
Alzheimer Disease
Dementia
Neuropsychology
Causality
3 Citations (Scopus)
1 Downloads (Pure)

The cortical focus in childhood absence epilepsy; evidence from nonlinear analysis of scalp EEG recordings

Sarrigiannis, P. G., Zhao, Y., He, F., Billings, S. A., Baster, K., Rittey, C., Yianni, J., Zis, P., Wei, H., Hadjivassiliou, M. & Grünewald, R., 1 Mar 2018, In : Clinical Neurophysiology. 129, 3, p. 602-617 16 p.

Research output: Contribution to journalArticle

Open Access
Absence Epilepsy
Scalp
Electroencephalography
Stroke
Thalamus

Activities 2018 2018

  • 2 Invited talk

Model-based experimental design in systems biology

Fei He (Speaker)
25 Oct 2018

Activity: Talk or presentationInvited talk

Bayesian experimental design for stochastic biochemical networks

Fei He (Speaker)
17 Apr 2018

Activity: Talk or presentationInvited talk