Roselyne Tchoua is an Assistant Professor at the School of Computing, DePaul University, USA. Her interests gravitate 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 computer science and other science fields, extracting insight from data using machine learning, natural language processing techniques and crowdsourcing. She 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.
Data Analysis, Natural Language
Specific Research Area
My current interests still include the extraction of scientific data from text. I enjoy working in interdisciplinary fields to extract scientific insight from data using machine learning and natural language processing. Since joining DePaul, I have also joined projects that involve different materials data as well as medical and healthcare data. I am particularly interested in ways to inject expert knowledge into machine learning models.