Summary
Bengt Ljungquist is a Senior Scientist and Ph.D. with 15+ years blending machine learning, cloud-native engineering (AWS), and software development to turn complex biological and neuronal data into production-grade insights for federal and private sectors. He specializes in RAG applications, agentic workflows, and designing AI/ML-native data formats—work that traces back to a novel neuronal activity format he commercialized. With roles spanning academia, government research (NCATS), and startups, he brings both rigorous research pedigree and startup grit, having founded multiple ventures including a successful yoga retail exit. Based in Warrenton, VA, he pairs deep neuroscience and MD training with an MS in Computer Science, enabling uncommon fluency across biology, computation, and scalable systems.
8 years of coding experience
14 years of employment as a software developer
MS, Computer Science and Engineering, MS, Computer Science and Engineering at The Faculty of Engineering at Lund University
Doctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at Lund University
English, German, Slovak, Swedish