Summary
Soojung Hong is a Director and data scientist with 10+ years of cross-domain experience building production ML systems and research-driven AI models, currently leading LLM-based multi-agent services and client insight discovery at UBS in Zurich. She blends deep research (graph neural networks, transformers, GANs) with pragmatic engineering—deploying recommendation, profiling, and anomaly-detection pipelines for finance, location services, telecom and energy. Her background spans roles from lead research engineer at HERE to hands-on predictive analytics architect and earlier systems/software positions, giving her rare end-to-end fluency from sensor and GPS signal processing to large-scale Spark/Hadoop platforms. Trained at Sogang, ETH Zurich, and MIT professional programs, she pairs formal CS foundations with up-to-date ML practice. Colleagues would note her curiosity-driven approach: many of her projects combine classical clustering and signal techniques with cutting-edge deep learning to recover hidden structure (e.g., lane/geometry reconstruction and semantic search).
10 years of coding experience
20 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Sogang University
Professional Certificate Program in Machine Learning and Artificial Intelligence, Professional Certificate Program in Machine Learning and Artificial Intelligence at Massachusetts Institute of Technology
Master of Science, Computer Science, Master of Science, Computer Science at Eidgenössische Technische Hochschule Zürich
Korean, English, German