About
Clinical scientist, geneticist, epidemiologist and computational biologist. I bring genetics and multiomics together to find which genes, in which cells, are worth drugging.
- 2004–2012MD University of Medicine and Pharmacy, Vietnamthe clinic
- 2013–2014MPH University of Debrecen, Hungary · genome-wide data mining◆ genetics begins
- 2014–2019PhD, Integrated Experimental & Computational Biology University of Lausanne · Marie Skłodowska-Curie fellow · circadian nuclear-receptor binding in liver● multiomics begins
- 2017Connectivity Map Broad Institute · perturbation signatures and drug mechanismperturbation
- 2022–Division of Human Genetics Children’s Hospital of Philadelphia · postdoctoral fellow (2022–24); Senior Staff Bioinformatics Scientist (2024–)◆● the strands merge
Medicine taught me to start with the patient. Public health taught me that a finding is only as good as the population it holds for, and that confounding is the usual reason something looks true when it is not. My PhD in Lausanne mapped how nuclear receptors bind the liver genome across the day, at the bench and in code, and a summer at the Broad Institute’s Connectivity Map showed me how perturbation data can point to a drug’s mechanism.
At Children’s Hospital of Philadelphia I connect disease genetics to cell types, regulatory elements and candidate genes, using 3D chromatin, single-cell and spatial data, CRISPRi screens and causal inference. I mentor an MD/PhD student and build interactive tools so collaborators can query results directly.