Iek Man Lei
About me: I'm a PhD student in the Biointerface group at the University of Cambridge. My research interests center around embedded 3D printing soft and functional materials for soft robotics and bio-applications.
• Additive manufacturing
• Soft material science
(hydrogels and elastomers)
• Python and Arduino programming
• COMSOL simulation
• Data visualisation
Embedded 3D printing soft materials
'3D printing machine learning' co-modelling of the current spread in neuromodulation implants
*This work has been featured on Nature Communications Editors' Highlights, BBC Planet Earth Podcast, University of Cambridge Department of Engineering webpage and Cambridge Network.
I.M. Lei, C. Jiang, et al. (2021) 3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients. (Nat. Commun., 2021) https://www.nature.com/articles/s41467-021-26491-6
Printing soft morphing systems
Development of a custom-built
1. I.M. Lei, C. Jiang, et al. (2021) 3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients. Nat. Commun.
2. C.L.C. Chan, I.M. Lei, et al. (2021) 3D printing of liquid crystalline hydroxypropyl cellulose – towards tunable and sustainable volumetric photonic structures. (Under Review)
3. S. Fathi, I.M. Lei, Y.Y.S. Huang. (2021) Visualizing cell extrusion deposition through a microcapillary tip with picolitre resolution. (Under Review)
4. Z. Li, I.M. Lei, et al. (2019) Solution Formulation and Rheology for Fabricating Extracellular Matrix-Derived Fibers Using Low-Voltage Electrospinning Patterning. ACS Biomater Sci Eng.
5. Z. Li, J. Tuffin, I.M. Lei, et al. (2018) Solution fibre spinning technique for the fabrication of tuneable decellularised matrix-laden fibres and fibrous micromembranes. Acta Biomater. 78:111-122.