| Oct 05, 2025 | š¤ Invited talks at AMS Fall Southeastern Meeting: āLearning Topological Signatures: TDA and ML at Scaleā! |
| Jun 09, 2025 | š Iāve joined National Laboratory of the Rockies (NLR) as a Research Scientist on the ās Data, Analysis, and Visualization team! Iām excited to continue working on ML, TDA, and visualization for critical materials and energy systems. |
| Jan 19, 2025 | š Our paper āLearning production functions for supply chains with graph neural networksā has been accpeted for an oral presentation at AAAI 2025 (top 5%)! |
| Nov 04, 2024 | š I defended my dissertation, āMetric Learning on Topological Descriptorsā! Special thanks to my thesis committee and all the wonderful people who have supported me throughout my PhD. |
| Aug 08, 2024 | š We got the Best Paper Award at VIS 2024 (top 1%)! Iām honored to be giving a plenary talk right after the opening ceremony. |
| Jul 29, 2024 | š Our paper āRapid and Precise Topological Comparison with Merge Tree Neural Networksā has been accpeted by IEEE VIS with an acceptance rate of 22.26%! The paper will be published in the special issue of the IEEE TVCG jounral. Looking forward to seeing everyone in St. Pete Beach. |
| Jul 15, 2024 | š Iām participating in the ICML Topological Deep Learning Challenge 2024! Iām proposing a novel topological lifting approach based on node attributes to convert a graph into a hypergraph. Check out our implementation details here. |
| Apr 10, 2024 | āØ New Paper! We introduce Merge Tree Neural Networks (MTNN), a leanred neural network model specifically designed for merge tree comparison. MTNN dramatically enhances the speed and quality of similarity computations, and speeds up the prior state-of-the-art by more than 100x on the benchmark datasets while maintaining an error rate below 0.1%, more details on [paper]. |
| Dec 15, 2023 | š Iām attending NeurIPS 2023! Iām serving on the program committee for Symmetry and Geometry in Neural Representations (NeurReps) this year! |
| Oct 15, 2023 | š¤ Iām attending IEEE VIS 2023! Check out our works in TopoInVis and EnergyVis. In TopoInVis, we propose a method to visualize topological importance [slide] , and in EnergyVis, we use Topological Data Analysis (TDA) to detect extreme climate events at scale [slide]. |
| Sep 15, 2023 | š Selected as a Grace Hopper Celebration (GHC) 2023 scholar! |