Amphun Chaiboonchoe's current research interest is focused on systems level study of algal metabolism, using Chlamydomonas reinhardtii as a model organism, to explore evolutionary questions on metabolic circuitry and its embedded phenotype-genotype relations. Further, she is interested in developing integrated computational and ‘omics’ techniques to identify biomarkers for a number of infectious diseases, non-communicable chronic diseases (such as asthma) and cancer. Last, she has been interested in investigating anti-proliferative properties of natural bioactive compounds, such as those derived from saffron and algae, to assess their pre-clinical efficacy toward their potential therapeutic use.
Chaiboonchoe did my Undergraduate and Master in Chiang Mai, Thailand in Electrical and Energy Engineering, focusing on renewable energy. Then she finished my PhD in Computational Systems Biology, Lincoln University, New Zealand in 2010. Her PhD research is focused on machine learning to infer gene networks from microarray data by using pathway databases. She utilized publicly available gene expression data and pathway databases to identify candidate GCs-regulated genes and their network of childhood leukaemia.
Chaiboonchoe's first postdoc was at European Institute for Systems Biology and Medicine working with Charles Auffray at CNRS-EISBM in Lyon in the U-BIOPRED consortium (Unbiased BIOmarkers in PREDiction of respiratory disease outcomes) funded by Innovative Medicines Initiative (IMI) programme dedicated to better understand and treat severe asthma.
She joined NYUAD since 2013 working with Dr. Kourosh Salehi-Ashitani, laboratory of Algal, Synthetic and Systems biology.
Research Area(s): Bioinformatics, Cancer; Green Biotechnology; Metabolic modeling; Network and Pathway; Plant and Algae Biology and Biotechnology; Plant Molecular Biology and Genomics; Synthetic & System Biology; Translational medicine