Research Experience
Graduate Researcher Sep 2024 – PresentAdvisor: Prof Ehsan Adeli, Dr Chieh-Ju Chao – EchoGPT Stanford University
Project: Vision-Language Model (VLM)-LLM framework for automatic echocardiography reporting.
Visiting Scholar Jun 2024 – Sep 2024
Advisor: Prof Meng Lu – AI for Neuroscience Peking University
Project: Applications of graph neural networks in biomedicine for neurodegenerative diseases.
Master’s Thesis Oct 2023 – Jun 2024
Advisor: Prof Lorenzo Di Michele – DNA Nanotechnology University of Cambridge
Project: Control 2D nano-emulsification with DNA origami: membrane-raft engineering in synthetic biology.
• Designed and polymerized DNA nanostructures in curved strings and circles from novel origami line-actant designs (synthetic analogues of membrane-sculpting proteins) characterized by AFM.
• Functionalized phase-separated giant unilamellar vesicles (GUVs) with the line-actants.
• Assessed curvature effect on domain size by image segmentation. Realized the stable control over domain size. Hypothesized coarsening mechanisms and transport in and out of the domains.
Undergraduate Research Assistant Jun 2023 – Oct 2023
Advisor: Prof Ljiljana Fruk – Bionano Engineering University of Cambridge
Project: Enzyme sensitive protein-based drug nanocarriers for reprogramming of pancreatic cancer.
• Synthesized nanocarriers from myoglobin with MMP-2/-9 cleavable peptide crosslinking, characterized disassembly, and validated 2D stability, cytotoxicity, and cell uptake in intact and disassembled proteins.
• Developed 3D co-culture spheroids to model hypoxic tumor microenvironments and validated nanocarrier effects on alleviating hypoxia. Presented work at conferences and contributed to published papers.
Project: Enhanced extraction of cell-free DNA from urine for non-invasive cancer screening and monitoring.
• Synthesized and optimized magnetic iron oxide nanoparticles with guanidine moieties or gold hybrid shells, balancing surface charge and magnetism for high DNA affinity; patent filed.
• Optimized cfDNA binding/elution with modified nanoparticles in synthetic urine, evaluating preservatives, buffers, and salts; standardized pre-analytical protocols for PCR and NGS.
Undergraduate Research Assistant Jun 2022 – Sep 2022
Advisor: Prof Xinhua Xu – Environmental Engineering Zhejiang University
•Evaluated iron oxides for Sb(V) removal from textile wastewater across varying conditions, simulating Langmuir models to quantify adsorption kinetics and surface characteristics.
Relevant Projects
• Applied AlphaFold for protein structure prediction and molecular docking for structure-based drug discovery.• Designed Shell and Tube heat exchangers, including thermal, hydraulic, and mechanical aspects, flow network modeling (FNM), mechanical drawings, and addressing SHE (Safety, Health, and Environmental) considerations.
• Enhanced the digital twin of Churchill College by integrating sensor data, detailed 3D building information, and semantic knowledge graphs to analyze energy performance and thermal behavior.
• Developed pre-procedural planning methods for transcatheter heart valve interventions, combining clinical imaging with in silico modeling (including CFD) to optimize patient selection and valve replacement planning.
• Designed from scratch the complete chemical plants for naphtha catalytic cracker into feedstocks. Perform rigorous design modeling by simulating distillation columns and fluidized/fixed bed reactors, draft PFD and P&ID.
• Solved non-linear equations with a range of input parameters and analyze the results to predict vapor-liquid equilibrium (VLE) and the compressibility factor of gases using the van der Waals equation.
• Modeled an n-tank mixing process with P, PI, and PID control to optimize outlet composition control.
