Dakuo Wang

Dakuo Wang is a Research Scientist at IBM Research AI, focusing on the intersection of Human-Computer Interaction (HCI) and Artificial Intelligence (AI). He leads a multidisciplinary team to develop IBM AutoAI, a solution for automating end-to-end machine learning pipelines.

• Ph.D. and M.S. in Information and Computer Science, University of California Irvine
• Diplôme d’Ingénieur (M.S.) in Information System, École Centrale d’Électronique Paris
• B.S. in Computer Science, Beijing University of Technology

His research introduces a framework for 'Human-AI Collaboration', emphasizing co-designing AI systems to work synergistically with humans. He studies applications in AutoML, chatbots, and clinical decision support systems.

Recent work trends highlight his contributions to collaborative AI systems, user experience design, and practical implementations of AI across engineering, clinical, and CSCW domains.

Scientific Awards:

• ACM Distinguished Speaker (2019)

He actively mentors in academic settings and has held leadership roles in organizing conferences such as ACM CSCW, ACM CHI, and ECSCW, reflecting his commitment to advancing collaborative technologies.