Derek Chen

Derek Chen is a research scientist turned founder with a focus on data efficiency and strategic data generation for task-oriented dialogue systems and natural language understanding. He pursued his education at prestigious institutions such as Berkeley, Stanford, and the University of Washington, where he obtained a Computer Science masters degree. Derek's recent research at Columbia University has centered around data collection and learning with noisy labels. His diverse tech background encompasses web analytics, product management, and AI research skills, especially in data pre-processing, model building, and interactive evaluation. His current work revolves around LaTeX, PyTorch/TensorFlow, NumPy, Pandas, and shell scripting for NLP research. Derek's specialties include data augmentation, few-shot learning, data denoising, dialogue modeling, conversational AI, NLP, natural language understanding, and dialogue state tracking. He has also previously delved into product management.