[firstname][lastname] AT mit.edu
I’m a computational biologist who specializes in sequencing and imaging data analysis. I majored in Biology for my undergraduate at Seoul National University and then joined Narry Kim Lab for my Ph.D. to study post-transcriptional regulations of coding and non-coding RNAs. During my graduate period, I did both wet and computational work with an emphasis on the latter. Besides standard (sc)RNA-seq, I have extensive experience in preparing and analyzing custom RNA-seq datasets, for example, TAIL-seq which was developed for measuring the mRNA poly(A)-tail length at a global scale.
After I joined Chung Lab as a postdoc, I’ve been focusing on microscopy imaging data analysis. The typical datasets I analyze include large-scale confocal/SPIM images of cleared and expanded tissue-gel hybrids (review), which usually require dedicated machine learning techniques and efficient parallelization of computation. I’m developing a new variant of the Expansion Microscopy method with my co-workers and also working on improving the image registration algorithm for multimodal biomedical images.
My current long-term research interest is in single-cell and spatial genomics in the neuroscience and immunology contexts. I’m particularly interested how cell-to-cell heterogeneity develops within the healthy and diseased tissue microenvironment. I believe a cross-disciplinary approach utilizing both sequencing and imaging techniques would enable us to interrogate biological tissues in greater detail at multiple scales.
|Jan 16, 2020||Joined Chung Lab as a Postdoctoral Associate|
|Feb 26, 2019||Received my Ph.D. degree from SNU 🎓|