Iek Man Lei
About me: I'm a PhD graduate from the Biointerface group at the University of Cambridge. My research interests center around soft and functional hydrogel materials for biomedical applications.
• Soft material science
(hydrogels and elastomers)
• Additive manufacturing
• Machine development
• Embedded 3D soft material printing
• Python and Arduino programming
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
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. Adv. Funct. Mat.
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.