Changsu Lee is a Principal Platform Engineer and hands-on technical leader with nine years of experience building cloud-native data and AI platforms for healthcare and bio-pharma. He has founded and led AI ventures that deliver mission-critical predictive, generative, and agentic systems and serves as chief technical advisor to stealth startups, translating early concepts into scalable, compliant production architectures. His background spans end-to-end data engineering, FHIR/CQL-enabled clinical pipelines, EMPI/patient-matching systems, and ML/LLM operationalization on hyperscale clouds. At b.well and Health Catalyst he shipped large-scale data intelligence and cost-accounting products, and he mentors MIT Hacking Medicine and COVID-19 Challenge teams, blending academic depth (PhD) with executive training from MIT Sloan. Colleagues describe him as humble, self-motivated, and pragmatic—equally comfortable coding an Apache Spark pipeline as advising execs on DevSecOps and enterprise readiness.
9 years of coding experience
17 years of employment as a software developer
PhD, Electrical, Electronic and Computer Engineering, PhD, Electrical, Electronic and Computer Engineering at The University of Western Australia
Executive Education Program, Executive Certificate in Strategy and Innovation, Executive Education Program, Executive Certificate in Strategy and Innovation at MIT Sloan School of Management
Master, Electrical and Computer Engineering, Master, Electrical and Computer Engineering at Hanyang University
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