Summary
Jung Soh is a Senior Data Scientist at PagerDuty with a 30+ year technical pedigree and five years focused on modern data science, building ML-driven predictive and monitoring features for AIOps. He combines deep domain experience in genomic data science and bioinformatics with a strong computer vision and production engineering background, having led AI-driven molecular diagnostic product development that contributed to Series A funding and resulted in papers and patents. Comfortable across Python/R/SQL and classical languages (C/C++, Java) as well as TensorFlow/Keras, he moves ideas from biomarker discovery and time-series clinical data to deployable products. His career uniquely spans academic research, standards work at ISO, and product leadership as a former CIO, managing remote multidisciplinary teams to translate complex biology into clinical-grade tools. Notably, he has authored numerous peer-reviewed publications and is an inventor on multiple US patents for medical diagnosis and visual inference. Located in Calgary, he mentors deep learning learners and volunteers with DeepLearning.AI, blending research, teaching, and applied ML.
5 years of coding experience
33 years of employment as a software developer
English, Korean, German