Wade Rosko is a Senior Machine Learning Engineer with 11 years of experience applying complexity science and computational physics to real-world problems in network science, knowledge graphs, and NLP. He has built graph ML platforms and RAG-enabled LLM agents for life sciences and enterprise clients, contributing core SDKs, ETL pipelines, and graph databases at startups and Fortune-scale teams. His background—an MS in Complex Adaptive Systems and a thesis in computational biology—drives a rare focus on biological complexity and systems modeling alongside production ML engineering. At Cellarity, Doctor Evidence, and most recently Lore | Contagious Health, he combined GNNs, transformers, and pragmatic data strategy to turn scientific literature and heterogeneous data into actionable knowledge. Wade also consults on graph/ML challenges and is an avid outdoor athlete, a detail that reflects his penchant for tackling technically steep problems with endurance and precision.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at Bates College
International Baccalaureate
High School, High School at Summit High School
Master of Science - MS Complex Adaptive Systems (Physics), Master of Science - MS Complex Adaptive Systems (Physics) at Chalmers University of Technology
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Wade Rosko - Senior Machine Learning Engineer at Self Employed