Summary
Hyunjun Choi is a Research Data Scientist at Cedars-Sinai with seven years of experience building AI-driven solutions for healthcare, from LLM-powered web applications to specialized tools for Alzheimer's research. He combines a strong engineering toolkit (Python, TensorFlow, ROS, C++, SQL/NoSQL) with academic training from USC Viterbi in computer science and data informatics to bridge research and clinical teams. His background spans applied machine learning in industry (image classification and segmentation for water treatment) and biomechanics research, giving him practical expertise in experimental design and real-world data collection. Comfortable moving projects from prototype to production, he focuses on making AI clinically relevant and interpretable for medical partners. An uncommon strength is his cross-domain experience—robotics, human–robot interaction, and military service as a dog handler—which informs a pragmatic, systems-oriented approach to complex problems. Based in Los Angeles, he actively seeks collaborations that translate ML advances into improved patient outcomes.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science and Engineering, Bachelor of Science - BS Computer Science and Engineering at Inha University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at USC Viterbi School of Engineering