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Hello! I’m a bioinformatics scientist that creates tech at the intersection of spatial genomics, ML/AI, and cell biology.
I currently work at Singular Genomics on the G4X, a platform for highly scalable spatial multiomics. Previously, I developed machine learning methods for spatial transcriptomics as a postdoc and graduate student at UC San Diego, co-advised by Dr. Gene Yeo and Dr. Hannah Carter. When I’m not staring at photos of cells, I enjoy spending time with my dog in sunny San Diego, CA at my favorite coffee shops and breweries.
I frequently present my work at conferences/scientific events (sometimes abroad as well ✈️). Please reach out if you find yourself at these events as well!
These are some of my recent work spanning science, software and teaching.
Computational Frameworks for Functional Subcellular Analysis of Spatial Transcriptomics Data
clarence.k.mah (at) gmail (dot) com
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