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.

Computational Neuroscience - Nonlinear systems identification, Signal processing and Causality analysis

• 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

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

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).
• 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.