Tanwi Mallick, PhD.

Mathematics and Computer Science Division
Argonne National Laboratory.
9700 S Cass Ave, Lemont, IL 60439,
Lemont, IL 60439, US.
tmallick@anl.gov
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About me

Tanwi is a computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, where she previously held a postdoctoral appointment. Her current research focuses on advancing foundation models for scientific discovery, with an emphasis on building agentic, multimodal, and reliable AI systems that can reason over complex scientific data and operate at scale. 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

[Openings]: We have openings for postdoctoral researchers and summer interns to work on training foundation models for scientific discovery, building multi-agent and multimodal systems, and advancing safe, trustworthy, and reliable AI.



Projects

  • (Active) The Transformational AI Models Consortium (ModCon)

  • (Active) Energy and National Security and Reliability (ENSURE) Foundation Model

  • (Active) Phase II: Composable Digital Twins for Science Network Infrastructures using Parallel Discrete Event Simulation.

  • (Active) The RAPIDS3 Institute for Artificial Intelligence, Computer Science, and Data

  • (Active) Enhancing ClimRR Capabilities to Better Support Electric Utility Applications and Technical Assistance

  • (Active) AuroraGPT: Large Language Model for Science and Engineering

  • (Active) Tachyon: Intelligent Multi-Scale Modeling of Distributed Resilient Infrastructure and Workflows for Data Intensive HEP Analyses

  • (Finished) Climate Action Through Large Language Models (CALLM): A Tool for Analyzing Climate Risk and Building Resilience

  • (Finished) RAPIDS2:A SciDAC Institute for Computer Science, Data, and Artificial Intelligence

  • (Finished) Composable Digital Twins for Science Network Infrastructures using Parallel Discrete Event Simulation

  • (Finished) Developing Machine Learning Surrogate Models For Regional Scale Transportation Network Models

  • (Finished) High-Performance Computing and Big Data Solutions for Mobility Design and Planning

  • (Finished) Community and Infrastructure Adaptation to Climate Change: An AI-Driven Research Tool

  • (Finished) A Demonstration Project on the Application of Artificial Intelligence for Identifying Hybrid Threats Affecting National Critical Functions in the United States and Allied Nations

  • (Finished) Accelerating graph-convolution-based deep learning framework for large-scale highway traffic forecasting with SambaNova

Honors and Awards

  • Received the Impact Argonne Award for enhancement of Argonne's reputation, March 2024.

  • Received second place in the NeurIPS Forecast TracK: CityLearn Challenge 2023 as Team Vanguards in collaboration with Yangxinyu Xie and Ngoc Tran. The recognition includes a cash prize and co-authorship for a summary manuscript, December 2023.

  • Received Impact Argonne Award in recognition of the outstanding contributions to the AI for Science training series and enhancement of Argonne's reputation by reaching out to its next generation of scientific users, January 2022.

  • Travel award: 14th Women in Machine Learning (WiML) Workshop co-located with NeurIPS, Vancouver, Canada December, 2019

  • Selected to participate in the 2nd Heidelberg Laureate Forum as one of the 100 most qualified Young Researchers in Computer Science to meet a number of Turing Awardees, September, 2014

  • The paper "Characterization of Noise in Kinetic Depth Images: A Review" as one of the 25 most downloaded papers for April and May 2014

  • One of the 7 finalist of Samsung Innovation Award 2014. In total 50 groups had participated for the award. -- News Article

  • Received TCS research fellowship during Ph.D.

  • Travel award from DST, Govt. of India for VISAPP 2015, and from Rajaghari Fund of IIT Kharagpur for 2nd Heidelberg Laureate Forum

  • Received GATE (Graduate Aptitude Test in Engineering) scholarship duting masters

Outreach