“Statistical and Machine Learning Approaches for Visualizing Large-Scale Simulation Data”, Early career research talk at U.S. Department of Energy Computer Graphics Forum (DOECGF), 2021

“In Situ Inference: Advanced Data Science for Space Weather Modeling”, Application Spotlight talk at IEEE Visualization Conference 2021, New Orleans, USA.

“Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data”, Paper presentation at Workshop on Visualization in Environmental Sciences, EuroVis 2021, Zurich, Switzerland.

“Neural Network Assisted Visual Analysis”, Technical talk at Information Sciences Group (CCS-3), Los Alamos National Laboratory, 2021

“Statistical and Machine Learning Approaches for Visualizing Large-Scale Simulation Data”, 2ndInternational Conference on Machine Learning and Information Processing (ICMLIP 2020), Hyderabad,India. [Invited Keynote Speaker].

“Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data”, Paper presentation at IEEE Visualization Conference 2020, Utah, USA.

“NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation”, Paper presentationat IEEE Visualization Conference 2019, Vancouver, Canada.

“CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Datasets”, Paper presentation at IEEE Visualization Conference 2018, Berlin, Germany.

“Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models”, Paper presentation at IEEE Visualization Conference 2018, Arizona, USA.

“Visualizing the life and anatomy of dark matter”, Paper presentation at IEEE Visualization Conference2015, Illinois, USA.