Koravit Auggie Poysungnoen
Undergraduate Research Assistant - Hickey Lab @Duke University Pratt School Of Engineering
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WORK HISTORY
Undergraduate Research Assistant - Hickey Lab @Duke University Pratt School Of Engineering
Participating in research that integrates spatial-omics data, which reveals precise cell arrangements, with single-cell sequencing to gain a comprehensive understanding of cellular behavior and interactions. Serve as a member of the Machine Vision team, contributing to computational image analysis and tool development.Advisor: John W. Hickey, Ph.D.Responsible Projects High-Resolution Mapping of the Human Term Placenta through Integration of Single-Nucleus, Spatial Transcriptomic, and Proteomic Data (collaborated with UCSD, School of Medicine) Cell CONFETTI: Live Cell Tracking MOTiS: Multiplexed Fluorescent Oligonucleotide Tagging for Spatially Resolved Treatment Profiling In Situ Gaussian Mixture Model for DNA De-barcoding Cellpose-based Pipeline for Multidimensional Image Analysis (applied to stroked brain and intestinal cancer tissues) Interrogating tumor infiltrating B cell populations for discovery of novel tumor-reactive antibodies (awaiting publication in Cancer Cell)
EDUCATION
Duke University
Bachelor of Science - BS, Molecular & Cells Biology / Financial Economics
Triam Udom Suksa School
High School Diploma, Advanced Science & Mathematics
Samsen Wittayalai School
Middle School Diploma, English Program
Saint Stephen's Episcopal School
Post-high school graduation program, Advanced Placement Classes
ABOUT KORAVIT AUGGIE POYSUNGNOEN
I am a rising-junior Thai student at Duke University with a strong background in bioinformatics, biomaterials, tissue engineering, and biomedical imaging. My previous work includes analyzing single-cell RNA-seq data from endometrial tissue to predict its implantation receptive phases and developing deep learning models for drug–target interaction prediction. Currently, I hold dual research positions at Duke. In Dr. John Hickey\'s lab, I analyze spatial-omics and RNA-seq data from placental and lung cancer tissues and have developed a cellpose-based pipeline for multidimensional image analysis. In parallel, I work in Dr. Tatiana Segura’s lab on engineering hydrogel-based microparticle annealing structures for stroke repair. My research interests center on investigating immune and neural neighborhood dynamics in hydrogel-treated stroked brains and cancer tissues using hyperplex imaging and computational analysis pipelines.
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