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Hello! I’m a bioinformatics scientist that creates tech at the intersection of spatial genomics, ML/AI, and RNA biology.
I currently work at Stellaromics, developing computer vision and AI-driven bioinformatics algorithms for 3D spatial sequencing data. I previously developed multi-omic spatial algorithms at Singular Genomics, and earned my PhD in Bioinformatics & Systems Biology at UC San Diego developing methods to study RNA biology and cancer with spatial omics data (with Dr. Gene Yeo and Dr. Hannah Carter). When I’m not staring at microscopy data, I enjoy hunting for fun coffee shops and breweries in sunny San Diego.
I am passionate about building community knowledge to push science forward; Here are some open-source projects I regularly contribute to.
https://github.com/YeoLab/bento-tools
https://github.com/scverse/spatialdata
https://github.com/scverse/spatialdata-io
These are some of my work spanning science, software and teaching.
Computational Frameworks for Functional Subcellular Analysis of Spatial Transcriptomics Data
clarence.k.mah (at) gmail (dot) com
Send me an email or DM me on ‣ Twitter !
I frequently present my work at conferences/scientific events. Please reach out if you find yourself at these events, I would love to connect!