After receiving my Masters degree from Linköping University in 2016, I started a position as Research Engineer for the open source visualization software Inviwo, primarily developed by the Scientific Visualization group at Media and Information Technology, LiU. Subsequently, I switched to a PhD position to further pursue my academic interests.
Coming from a background in languages, I have a keen interest in transporting the question of how to beautifully encode intent and information from spoken to visual language.
Synonymously, this task becomes more engaging, the more complex the message/data is. Will say, I am tackling the challenge of conveying complex data that is not intuitively comprehensible, and application-driven exploration of high-dimensional, high-order data.
Therefore, my research focuses specifically on tensor field exploration, and feature space exploration and analysis.
Coming from a background in languages, I have a keen interest in transporting the question of how to beautifully encode intent and information from spoken to visual language.
Synonymously, this task becomes more engaging, the more complex the message/data is. Will say, I am tackling the challenge of conveying complex data that is not intuitively comprehensible, and application-driven exploration of high-dimensional, high-order data.
Therefore, my research focuses specifically on tensor field exploration, and feature space exploration and analysis.
