Ratanond Koonchanok

Ratanond Koonchanok is a PhD student in Data Science at Indiana University Indianapolis, specializing in Human-Computer Interaction (HCI) and visual analytics. His research focuses on lightweight interface design for generative AI (GenAI), robust improvements to data science tools, and the development of visual belief elicitation techniques. His work has been published in top-tier international conferences such as CHI, including the paper “Visual Belief Elicitation Reduces the Incidence of False Discovery,” which received an honorable mention. He is actively engaged in the intersection of data science and HCI, dedicated to improving the reliability and usability of interactive data analysis tools.

• 2024–Present·Indiana University Indianapolis·Research and Teaching Assistant
  • Participated in multiple research projects focused on interactive data science tools and visual analytics techniques, emphasizing accuracy and reliability in the data analysis process.

• 2020–Present·Indiana University Indianapolis·PhD (Data Science)
  • Research focused on Human-Computer Interaction and visual analytics, aiming to develop novel data analysis tools.
• 2017 and earlier·Unknown·Bachelor’s or Master’s (Field unspecified)
  • Likely related to computer science or data analysis based on current research interests.