2021-08-23T17:33:23+08:002021-01-19|
Contact Information
Title
UM Macao Fellow
Office
(Office) E12-4028
Phone
(Office) +853 8822 4930
Email
chonloklei@um.edu.mo
Consultation Hours

Tue, Fri 10:00 – 11:00

Teaching

Course Outlines

GEST1002 Quantitative Reasoning for Social Sciences

Research Team
Name Position Office Phone Email
Education
PhD (DPhil) University of Oxford
BSc & ARCS Imperial College London
Position
2021-Present Lecturer (UM Macao Fellow), FHS, University of Macau
2018-2020 Lecturer, Doctoral Training Centre, University of Oxford
2017-2019 Tutor, University College, University of Oxford
Research Interests
My research is in systems biology and mathematical physiology, constructing mathematical and computational models to describe biological and physiological processes. I use mathematical models of cardiac electrophysiology and uncertainty quantification techniques such as Bayesian modelling and machine learning for studying pharmaceutical drug safety, translation, drug discovery, and personalised medicine.
Representative Publications
Preprints

  1. Lei, C.L., Fabbri, A., Whittaker, D.G., et al. (2020). “A nonlinear and time-dependent leak current in the presence of calcium fluoride patch-clamp seal enhancer.” Wellcome Open Research, 5:152. https://doi.org/10.12688/wellcomeopenres.15968.1
  2. Foster, T., Lei, C.L., Robinson, M., et al. (2020). “Model Evidence with Fast Tree Based Quadrature.” arXiv. http://arxiv.org/abs/2005.11300
  3. Lei, I.M., Jiang, C., Lei, C.L., et al. (2020). “A neural network trained by 3D printed biomimetic cochleae provides clinical informatics for cochlear implant patients.” medRxiv. https://doi.org/10.1101/2020.11.28.20240176
  4. Creswell, R., Lambert, B., Lei, C.L., et al. (2020). “Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models.” arXiv. https://arxiv.org/abs/2011.04854

Peer-reviewed journal articles

  1. Lei, C. L., and Mirams, G. R. (2021). “Neural Network Differential Equations For Ion Channel Modelling.” Frontiers in Physiology, 12:708944. https://doi.org/10.3389/fphys.2021.708944
  2. Lei, C.L., Ghosh, S., Whittaker, D.G., et al. (2020). “Considering discrepancy when calibrating a mechanistic electrophysiology model.” Trans. R. Soc. A. 378: 20190349. https://doi.org/10.1098/rsta.2019.0349
  3. Lei, C.L., Clerx, M., Whittaker, D.G., et al. (2020). “Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments.” Trans. R. Soc. A. 378: 20190348. https://doi.org/10.1098/rsta.2019.0348
  4. Clayton, R.H., Aboelkassem, T., Cantwell, C.D., Corrado, C., Delhaas, T., Huberts, W., Lei, C.L., et al. (2020). “An audit of uncertainty in multi-scale cardiac electrophysiology models.” Trans. R. Soc. A. 378: 20190335. https://doi.org/10.1098/rsta.2019.0335
  5. Whittaker, D.G., Clerx, M., Lei, C.L., et al. (2020). “Calibration of ionic and cellular cardiac electrophysiology” WIREs Syst. Biol. Med., e1482. https://doi.org/10.1002/wsbm.1482
  6. Lei, C.L., Clerx, M., Beattie, K.A., et al. (2019). “Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence.” Biophysical Journal, 117, 12, p.2455-2470. https://doi.org/10.1016/j.bpj.2019.07.030
  7. Lei, C.L., Clerx, M., Gavaghan, D.J., et al. (2019). “Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System.” Biophysical Journal, 117, 12, p.2438-2454. https://doi.org/10.1016/j.bpj.2019.07.029
  8. Clerx, M., Robinson, M., Lambert, B., Lei, C.L., et al. (2019). “Probabilistic Inference on Noisy Time Series (PINTS).” Journal of Open Research Software, 7(1), p.23. https://doi.org/10.5334/jors.252
  9. Lei, C.L., Kellard, J., Hara, M., Johnson, J., Rodriguez, B. and Briant, L. (2018). “Beta-cell hubs maintain Ca2+ oscillations in human and mouse islet simulations.” Islets, 10(4): 151-167. https://doi.org/10.1080/19382014.2018.1493316
  10. Lei, C.L., Wang, K., Clerx, M., Johnstone, R.H., et al. (2017). “Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology.” Frontiers in Physiology, 8, 986. https://doi.org/10.3389/fphys.2017.00986

Conference proceedings

  1. Camporesi, M., Bartolucci, C., Lei, C.L., et al. (2020). “Development, Implementation and Testing of a Multicellular Dynamic Action Potential Clamp Simulator for Drug Cardiac Safety Assessment.” Computing in Cardiology 2020, Vol. 47. https://doi.org/10.22489/CinC.2020.416″>https://doi.org/10.22489/CinC.2020.416
Awards
  • 2020 Biophysical Society Travel Award
  • 2018 Safety Pharmacology Society Travel Award
  • 2018 Biophysical Society Best Poster Award
  • 2018 Models to Decisions Conference Best Poster Award
  • 2016 Clarendon Fund Scholarship
  • 2013 Macau Foundation’s Special Scholarship
Professional Activities
Journal reviewer
Royal Society Open ScienceProfessional membership
Biophysical Society
Society for Mathematical Biology
Safety Pharmacology Society