Dr. Cynthia Huang

Research Interests

• Data Visualisation, Statistical Graphics and Information Visualisation
• Data Pre-Processing, Quality and Provenance
• Human-AI Collaboration in Data Science

Short Description

Cynthia Huang is a Post-Doctoral Research Fellow working at the intersection of social data science, statistical programming and human-centered computing, with a particular focus on principles and tools for using complex real world data in social science research. Her interdisciplinary work often combines different philosophical perspectives and methodological approaches to solving open questions in modern data science.

Prior to joining SODA at LMU, she completed her PhD and worked as a Research Fellow in the Department of Econometrics and Business Statistics at Monash University under the supervision of Rob J Hyndman, Simon Angus and Sarah Goodwin. During her time at Monash University she worked on methodological and applied projects including graph-based representations for documenting ex-post harmonisation of datasets, adapting web-scraped price data to public health policy research, applications and evaluation of LLMs for data cleaning, and grammar of graphics extensions for handling time and other special data types.