Received the 2023-2024 Faculty Service Award!
I’m honored to have been selected for the UA Computer Science Department’s Faculty Service Award this year.
Received the 2020-2021 Faculty Teaching Award and (inaugural) Faculty DEI Award!
I’m honored to have been selected as one of UA Computer Science Department’s Faculty Teaching Award as well as our inaugural Faculty DEI Award.
Particularly, I am excited about our department’s recent efforts to address issues with diversity, equity, and inclusion, and I’m looking forward to making...
Multiple Views Article: Learning to Volume Render with GANs
Recently, I wrote a piece for Multiple Views: Visualization Research Explained on Learning to Volume Render with GANs. Thanks to Danielle Szafir and Jessica Hullman for inviting me!
This article provides some hindsight on our recent paper A Generative Model for Volume Rendering coauthored by...
Featured on the cover of ASCR Discovery
My DOE ECRP work was recently featured in an article on the Department of Energy’s ASCR Discovery website. This article describes all of the machine learning work the recent early-career honorees are doing, including my own that couples machine learning with topological analysis.
Images were generated using TTK.
Received the 2018-2019 Outstanding Faculty Research Award!
I’m honored to have been selected as one of the UA Computer Science Department’s Outstanding Faculty Researchers.
Awarded 2018 DOE Early Career Award!
I’m honored to have been selected as one of the 2018 DOE Early Career Research Program recipients. The DOE ECRP is a five year award that will help support graduate students and postdocs to investigate new methods for topological analysis enriched with machine learning for the analysis of multivariate...
Prof. Berger to start at Vanderbilt University!
Congratulations to Prof. Matthew Berger, former postdoc and longtime collaborator, who has accepted a faculty position as Vanderbilt University’s Department of Electrical Engineering and Computer Science and will start there Fall 2018 after moving to Nashville, TN this summer.
Join us for a TTK Tutorial at IEEE VIS 2018
At IEEE VIS 2018, we’ll be hosting a tutorial Topological Data Analysis Made Easy with the Topology ToolKit. The tutorial is on Sunday from 2:20-6:00pm.
This tutorial brings together researchers and practitioners who are interested in the analysis of scientific data with the Topology ToolKit (TTK). The...
Join us for VPA at SC17
At SC 2017, we’ll be hosting the Fourth International Workshop on Visual Performance Analysis (VPA 17). This workshop is on Friday from 8:30am-12:00pm.
VPA 17 brings together researchers from the fields of performance analysis and visualization to discuss new approaches of applying visualization and visual analytics techniques to...
TTK awarded at IEEE VIS!
At IEEE VIS 2017, TTK receives the award for SciVis Best Paper Honorable mention.
Congrats to my co-authors!
TTK exposes topological tools through ParaView, VTK, and dependency-free source code. If you need to robustly analyze your acquired or simulated scientific data, you may want to...
TTK Release!!!
We are excited to announce the release of the Topology Tool Kit (TTK), an open source library and software collection for topological data analysis in scientific visualization: https://topology-tool-kit.github.io/
TTK can handle scalar data defined either on regular grids or triangulations, either in 2D or in 3D. It provides a...
Work in progress
Welcome to my new homepage!
As you can see, this website is still a work-in-progress. Please feel free to email me if you see a mistake.
I will slowly be importing all of my old information, as well as adding new material, over the course of the next few months.
...