Tanwi Mallick
Scholar

Tanwi Mallick

Google Scholar ID: -SYCofkAAAAJ
Argonne National Laboratory
Scientific Machine LearningFoundation ModelsGraph Neural Network
Citations & Impact
All-time
Citations
744
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • 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