Profile
PhD candidate at the University of Macau working on multi-scale computational modelling of physiological systems. My research integrates ODE-based electrophysiology, calcium-handling dynamics, and biomechanical models to study cardiac arrhythmia mechanisms and organ perfusion.
Previously trained in Preventive Healthcare at Xiamen University, with research experience in infectious disease modelling and chronic disease epidemiology.
Skilled in mechanistic modelling, parameter optimization, and large-scale simulation using MATLAB, Python, and C++. Experienced with statistical modelling approaches including logistic regression, chain binomial models, and PSM-DID.
Research Projects
University of Macau
- Developed a biophysically detailed cardiac cell model by coupling multiple ODE systems describing calcium handling, ion-channel dynamics, and active force generation.
- Built a coupled multi-physics model integrating intracellular Ca²⁺ dynamics, ion-channel electrophysiology, and sarcomere contraction mechanics.
- Implemented stretch-activated currents and mechanical feedback to study mechano-electric interactions in cardiomyocytes.
- Developed spatially heterogeneous calcium buffering models to investigate how subcellular Ca²⁺ regulation influences arrhythmogenic events.
- Designed simulation protocols for calcium waves and delayed afterdepolarizations (DADs) under different pacing frequencies.
- Performed global sensitivity analysis (Sobol method) to quantify parameter influence on calcium transients and arrhythmia triggers.
University of Macau
- Developing a digital liver perfusion model combining medical imaging, vascular flow modeling, and metabolic simulation.
- Reconstructed 3D liver geometry and vascular structures from CT imaging data.
- Built multi-scale perfusion models describing blood flow through hepatic vascular networks.
- Coupled perfusion with ODE-based metabolic models (oxygen, glucose, lactate transport).
- Investigated temperature-dependent changes in vascular resistance and perfusion dynamics relevant to ex-vivo organ perfusion.
- Developed computational pipelines for simulation of transport and metabolic activity in liver tissue.
Population-based cross-sectional study, Xiamen, China
- Conducted a cross-sectional analysis of the association between dietary sialic acid intake and HbA1c levels.
- Performed logistic regression and related statistical analyses using SPSS and R.
- Gained experience in nutrient analysis methods and English scientific writing.
- Used different substrate combinations to study trans-sialidase (TS) reaction characteristics.
- Explored modification of LDL by exogenous sialic acids and their potential as TS substrates.
Gains: basic laboratory operations and use of laboratory equipment.
Results: team won second and third prizes in Xiamen University's Basic Medical Innovative Research and Experimental Design Forum.
- Established a chain binomial model based on the natural history of HFMD virus.
- Fitted the model to aggregated outbreak data in Fujian Province to estimate transmission parameters and predict cluster outbreaks.
Gains: strengthened skills in R, Python, infectious disease modelling, experimental planning, and project submission.
Results: developed an “Online Geocoding Software Based on R Language” at ShenSoft.
- Crawled provincial-level surveillance data for 24 notifiable diseases.
- Contributed to modelling and prediction for selected diseases using R and Python.
- Performed metabolomics data analysis and screening of engineered strains.
- Learned project filing, patent drafting, and scientific writing.
Results: awarded Outstanding Project in the 8th Annual Innovation and Entrepreneurship Conference of Xiamen University.
- Evaluated the impact of long-term care insurance (LTCI) on catastrophic medical expenditures of urban and rural residents.
- Applied propensity score matching difference-in-differences (PSM-DID) models using Stata.
Results: manuscript under revision for China Health Statistics (Peking University Core / Xiamen University First Class Core Journal).
