Projects
Victoria and Albert Museum, London 2023
Research Projects
2022 - present
Microfluidic Platform for Induced Dorsal-Ventral Patterning of Brain Organoids
The Stevens Group, Imperial College LondonSupervised by Dr. Ruoxiao Xie and Prof. Molly Stevens
TBC
2022 - 2023
High-throughput Brain Organoid Platform
The Stevens Group, Imperial College LondonSupervised by Dr. Ruoxiao Xie and Prof. Molly Stevens
TBC
2022 - 2023
Magnetically Driven Formation of 3D Freestanding Soft Bioscaffolds
The Stevens Group, Imperial College LondonSupervised by Dr. Ruoxiao Xie and Prof. Molly Stevens
3D soft bioscaffolds have great promise in tissue engineering, biohybrid robotics, and organ-on-a-chip engineering applications. Though emerging three-dimensional (3D) printing techniques offer versatility for assembling soft biomaterials, challenges persist in overcoming the deformation or collapse of delicate 3D structures during fabrication, especially for overhanging or thin features. This study introduces a magnet-assisted fabrication strategy that uses a magnetic field to trigger shape morphing and provide remote temporary support, enabling the straightforward creation of soft bioscaffolds with overhangs and thin-walled structures in 3D. We demonstrate the versatility and effectiveness of our strategy through the fabrication of bioscaffolds that replicate the complex 3D topology of branching vascular systems. Furthermore, we engineered hydrogel-based bioscaffolds to support biohybrid soft actuators capable of walking motion triggered by cardiomyocytes. This approach opens new possibilities for shaping hydrogel materials into complex 3D morphologies, which will further empower a broad range of biomedical applications.
2022 - 2023
Tuning Channel Porosity in Hydrogels with Microfluidic Sacrificial Fibers for Facile VascularisationÂ
The Stevens Group, Imperial College LondonCollaborated with Ms. Jade Kong
Supervised by Dr. Ruoxiao Xie and Prof. Molly Stevens
Supervised by Dr. Ruoxiao Xie and Prof. Molly Stevens
A method using MSF-laden channel templates to improve the resolution and density of vascularised tissues. By combining this technique with GelMA and DLP 3D printing, we aim to facilitate the development of reliable physiological models in vascularisation tissue engineering.
Undergraduate Research Projects
2023 - 2024
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation
Department of Bioengineering, Imperial College LondonSupervised by Dr. Guang Yang
This project explores the potential in coupling artificial intelligence (AI) and crowdsourcing to enhance the rate of data gathering for medical image segmentation. Utilising advanced segmentation model MedSAM alongside generative AI pix2pixGAN, the research aims to not only augment existing medical datasets but also refine the accuracy and efficiency of data annotation through public participation. By integrating a user-friendly online platform, this approach facilitates the annotation of medical images by a diverse group, aiming to simplify and expedite the data collection process necessary for training robust deep learning (DL) models. The combination of AI with citizen science is hypothesised to significantly improve the size and quality of datasets available, making it a promising approach to overcoming current limitations in medical image analysis and aiding in the progression of medical diagnostics and treatment planning.Information WebsiteProject Report
2022 - 2023
Engineering Design of a Musical Device for Stroke Rehabilitation
Department of Bioengineering, Imperial College LondonSupervised by Dr. Warren Macdonald
Music has been used for many years as a mean of therapy for various neurological conditions. The aim of this project is to develop a muscial system that can be played as a mean of physiotherapy.Information Website
Product Specification Document
Project Report
Product Specification Document
Project Report