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Hello! I recently earned my PhD in Genomic Medicine and Statistics from the University of Oxford.
My research focused on infectious diseases and host-pathogen interactions, with a specialization in genomic and genetic analysis. I have experience in developing novel methods to conduct analysis, using computational approaches to deepen our understanding of complex data.
With a strong background in programming languages like R, Python, and Bash scripting, I've been able to innovate and analyze intricate datasets. I'm eager to expand my knowledge into AI/ML and microbiome research as I continue my journey in computational biology.
Currently, I'm seeking opportunities to collaborate with professionals in both academia and industry who share my enthusiasm for this field. Please feel free to browse my website to learn more about my research and projects.
Thank you for visiting, and I hope to connect with you soon!
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Oct 2018
PhD in Genomic Medicine and Statistics
@ University of OxfordMy research focus was on the genetic analysis of infectious diseases. More specifically, this include the following projects:
- Investigting the genetic factor for susceptibility to all common infectious diseases in England.
- Developing novel approach to build the co-evolution profile within the hepatitis B virus (HBV) genomes to investigate its potential routes of drug resistance.
- Rebuild the epidemiological history of hepatitis C virus (HBV) subtype 3a to understand its spatiotemporal dissemination.
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Oct 2017
Research Assistant
@ University of OxfordA member of the STOP-HCV consortium under the supervision of Professor Daniel Wilson and Professor Ellie Barnes. Responsible for performing gene association study on Hepatitis C patients to find the genetic causal for cirrhosis development in the context of Hepatitis C infection.
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Oct 2016
Master in Bioinformatics and Theoretical Systems Biology
@ Imperial College LondonDuring this one year course, I did three lab rotation projects that included:
- Using machine learning to explore the potential incorporating functional similarity information in protein structure prediction under the supervision of Professor Michael Sternberg.
- Developing a statistical test to identify bias branching coalescent event and discover competition relationship between viral strains.
- Using standard pipeline to analyse gene expression data to identify biomarkers that can help improve diagnosing Tuberculosis.
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Nov 2015
Research Assistant
@ Academia Sinica TaiwanUnder the supervision of Doctor Shu Fang and Professor Chau-Ti Ting, responsible for processing and analysing NGS genomic data of Drosophila albomicans in order to identify the genetic causal of parthenogenesis.
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I'm actively seeking new career opportunities and open to collaborating on research projects. If you're interested in discussing potential opportunities or collaborations, please feel free to reach out to me. Let's explore the possibilities and see how we can work together to achieve our goals.
