Who am I

Hello, I’m Jiazhen Liu, a dedicated researcher with a passion for integrating data science and biomedical engineering to solve complex health challenges. My expertise lies in developing advanced statistical models and predictive algorithms that drive impactful discoveries in medical research.

My journey began with a fascination for biomedical systems, and over time, I honed my skills through rigorous academic training and hands-on research. From optimizing machine learning models for cancer risk assessment to designing robust workflows for RNA sequencing data analysis, I have built a foundation in both theoretical knowledge and practical applications. Today, I apply my skills to tackle challenges in public health and biotechnology, driven by a desire to contribute to the advancement of healthcare technologies.

What I Do

I specialize in developing precise molecular biology techniques that drive innovation in biomedical research and early disease detection. My expertise includes:

Genetic Engineering & Circuit Design

Developing and validating gene constructs using molecular techniques like plasmid ligation, Gibson assembly, and restriction digestion for applications in early cancer detection and synthetic biology.

RNA and DNA Manipulation

Performing RNA purification, cDNA synthesis, and PCR to support genetic studies, ensuring high fidelity in gene expression and sequencing.

Protein Analysis and Assays

Utilizing assays such as ELISA and qPCR to measure protein levels and gene expression, providing insights into cellular mechanisms and therapeutic targets.

Data-Driven Insights for Molecular Research

Integrating statistical data analysis and machine learning to enhance the accuracy and efficiency of biological experiments, driving data-informed decisions in research.