I am an Assistant Professor at the University of Cincinnati in Electrical Engineering and Computer Science. My research is in data visualization 'beyond the desktop', and I explore how advanced graphics platforms- like ultra-resolution display walls and immersive 'hybrid reality' environments- and input modalities- such as natural language and mid-air gestures- might help scientists derive insight from 'big data' and machine learning models. I completed my MS and PhD at the University of Illinois at Chicago and worked as a research assistant in the Electronic Visualization Laboratory. Prior to studying computer science, I studied biology at the University of Chicago and worked in molecular biology research.
My work is interdisciplinary. I engineer environments and systems, and I design visual and interactive approaches, to solve data-driven challenges. This work is informed by collaboration with data scientists and domain experts- academics, researchers at national labs, and data scientists at a multi-national corporation- and observations of how people work and use technology.
I believe computing is for everyone. I have served in leadership and outreach roles for the women in computer science organization, and I have mentored a diverse group of undergraduate students in research projects.
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