Received the Impact Argonne Award in March 2024 for enhancing Argonne's reputation
Second place in NeurIPS CityLearn Challenge 2023 as Team Vanguards
Published 'Deep-Ensemble-Based Spatiotemporal Graph Neural Networks for traffic forecasting' in IEEE Transactions on Intelligent Transportation Systems (April 2024)
Delivered keynote lecture at SIGIR 2024 workshop on Information Retrieval for Climate Impact (July 2024)
Panelist at PAISE workshop on the Future of AI@Edge during IPDPS 2024
Organizing LMxHPC: International Workshop on LLMs and HPC at IEEE Cluster 2024
Organizing IPDPS PhD Forum 2024
Selected for the 11th Heidelberg Laureate Forum (September 2024)
Presented poster on Traffic Forecasting in ESnet at GCASR 2024 (May 2024)
Research Experience
Assistant Computer Scientist, Mathematics and Computer Science Division, Argonne National Laboratory
Postdoctoral Appointee, Argonne National Laboratory
Senior Data Scientist, General Electric
Active projects include: Enhancing ClimRR Capabilities, CALLM (Climate Action through LLMs), AuroraGPT, Tachyon, RAPIDS2
Completed projects include: Composable Digital Twins for Science Networks, ML Surrogate Models for Transportation Networks, AI-driven Climate Adaptation Tools, AI for Hybrid Threat Detection, and SambaNova-accelerated traffic forecasting