Roselyne Tchoua is an Assistant Professor in the School of Computing, DePaul University. Her interests have always gravitated around making seemingly inaccessible technology or unmanageable amounts of data more reachable. She joined the DePaul Center for Data Science to continue working in the fascinating space between data science and other science fields (e.g., medicine), extracting insight from data using machine learning and natural language processing techniques. She is particularly interested in Interdisciplinary/Transdisciplinary and Human-Centered Machine Learning. Dr. Tchoua received her PhD in computer science from the University of Chicago, focusing on Hybrid Human Machine Scientific Information Extraction and working with materials science data specifically. During her graduate studies, she collaborated with scientists at the UChicago Institute of Molecular Engineering and the National Institute of Standards and Technology (NIST) to extract polymer names and properties from the literature. Before going to the University of Chicago, she was a scientist at Oak Ridge National Laboratory (ORNL) in the Scientific Data Group working on an online simulation data management and collaboration tool for High Performance Computing scientists.
Research Area
Data Analysis, Natural Language Processing
Specific Research Area
I enjoy working in interdisciplinary fields to extract scientific insight from data using machine learning and natural language processing. Since joining DePaul, I have joined projects that involve different medical and healthcare data (including numeric, image and text data). I am particularly interested in ways to inject expert knowledge into machine learning models via human-in-the-loop or co-design approaches that include these experts in every step of the data pipeline. These topics fall under emerging fields in machine learning called Human-Centered AI and Responsible AI.