I'm a PhD student in the computer science department at the University of Arizona. I study visualizing time-varying and multi-variant scalar fields. I got my BS and MS in computer science from the University of Arizona.
I mainly research scalar fields visualization technique combining machine learning and topology. We utilize GAN and other types of deep neural networks on volume rendering to help the user explore time-varying and multi-variant data. We also study and experiment to use topology to give further assistance in scalar field visualiztion.
What long-term project do you want to work on?
My projects focus on time-varying and multi-variant (2D/3D) scalar field visualization. Right now I'm using features learned by deep neural networks to help with the visualization. Later we will experiment adding topological features to our toolkit.
What do you enjoy most about your work?
I enjoy every aspect of my work. Especially the part where I get to work with people who are determined, intelligent and persistent. The best part of being a PhD student is that such people surround me.
What are your career goals?
I'm after a life of research. My short-term goal is to graduate (of course!). In long-term, I'm looking for a career in research labs that produce or process cool data. And my definition of cool data is any data contains new (w.r.t my knowledge) information.
Tell us something interesting about yourself!
Define "interesting"? That's the type of question I ask when I hear adjectives like interesting/good/bad. However, I think the most "interesting" question is "Define myself?" People have been trying to understand what the "self" is for a long time. I love cats.