Research Areas: Ppharmacometabolomics, pharmacogenomics, omics, asthma, personalized medicine, data science, network science
I am a passionate researcher driven by a profound curiosity about science and data. With a robust background in metabolomics, genomics, quantitative genetics, and data analysis, I am involved in diverse research projects. I am proficiency in R programming, capable in Python, and SAS allows me to navigate complex data landscapes. Currently, I am a postdoctoral research fellow researching on pharmacometabolomic and pharmacogenomics in asthma topic. Besides, I am interested in integration of different omics to predict patient’s response to different asthma treatment. Beyond my current technical skills, I am an advocate for continuous learning, consistently pursuing knowledge through online courses and certifications. This dedication ensures that I remain at the forefront of advancements in the field.