Tanwi Mallick, PhD.

Tanwi is a computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, where she previously held a postdoctoral appointment. Her research is primarily focused on spatiotemporal graph neural networks, uncertainty quantification, trustworthy scientific machine learning (SciML), foundation models, natural language processing, and high-performance computing. She also has experience working across various scientific domains, such as transportation systems, climate science, and HPC network analysis. Before her tenure at Argonne, she was a senior data scientist at General Electric. Tanwi obtained her Ph.D. in computer science from the Indian Institute of Technology, Kharagpur, India.

My current research interest

• Foundation models for science with advanced reasoning
• Multi-agent systems and multimodal models for science
• Spatiotemporal Graph Neural Network (GNN)
• Safety-aligned, trustworthy AI systems
• Large-scale machine learning on high-performance computing systems