Foster, Ian

14 examples of how LLMs can transform materials science and chemistry: A reflection on a large language model hackathon

Jablonka, K. M., Ai, Q., Al-Feghali, A., Badhwar, S., Bocarsly, J. D., Bran, A. M., Bringuier, S., Brinson, L. C., Choudhary, K., Circi, D., et al. (2023) · Digital Discovery

Machine Learning in Materials ScienceArtificial Intelligence Applications

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A regional nuclear conflict would compromise global food security

Jägermeyr, J., Robock, A., Elliott, J., Müller, C., Xia, L., Khabarov, N., Folberth, C., Schmid, E., Liu, W., Zabel, F., et al. (2020) · Proceedings of the National Academy of Sciences

Nuclear Issues and DefenseClimate change impacts on agriculture

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Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations

Dinov, I. D., Heavner, B., Tang, M., Glusman, G., Chard, K., Darcy, M., Madduri, R., Pa, J., Spino, C., Kesselman, C., et al. (2016) · PLOS ONE

Artificial Intelligence in HealthcareParkinson's Disease Mechanisms and Treatments

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GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

Zvyagin, M., Brace, A., Hippe, K., Deng, Y., Zhang, B., Bohorquez, C. O., Clyde, A., Kale, B., Perez-Rivera, D., Ma, H., et al. (2022) · The International Journal of High Performance Computing Applications

SARS-CoV-2 and COVID-19 ResearchGenomics and Phylogenetic Studies

Cited by 120

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

Zvyagin, M., Brace, A., Hippe, K., Deng, Y., Zhang, B., Bohorquez, C. O., Clyde, A., Kale, B., Perez-Rivera, D., Ma, H., et al. (2023) · The International Journal of High Performance Computing Applications

SARS-CoV-2 and COVID-19 ResearchGenomics and Phylogenetic Studies

Cited by 120

Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses

Liu, B., Madduri, R. K., Sotomayor, B., Chard, K., Lacinski, L., Dave, U. J., Li, J., Liu, C., & Foster, I. T. (2014) · Journal of Biomedical Informatics

Scientific Computing and Data ManagementCloud Computing and Resource Management

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Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services

Madduri, R. K., Sulakhe, D., Lacinski, L., Liu, B., Rodriguez, A., Chard, K., Dave, U. J., & Foster, I. T. (2014) · Concurrency and Computation: Practice and Experience

Scientific Computing and Data ManagementCloud Computing and Resource Management

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FAIR Principles for AI Models with a Practical Application for Accelerated High Energy Diffraction Microscopy

Ravi, N., Chaturvedi, P., Huerta, E. A., Liu, Z., Chard, R., Scourtas, A., Schmidt, K. J., Chard, K., Blaiszik, B., & Foster, I. (2022) · Scientific Data

Research Data Management PracticesScientific Computing and Data Management

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Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Nguyen, T., Shah, R., Bansal, H., Arcomano, T., Maulik, R., Kotamarthi, V., Foster, I., Madireddy, S., & Grover, A. (2023) · arXiv

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Liu, B., Li, X., Zhang, J., Wang, J., He, T., Hong, S., Liu, H., Zhang, S., Song, K., Zhu, K., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

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Adaptive Edge-Cloud Environments for Rural AI

Almurshed, O., Patros, P., Huang, V., Mayo, M., Ooi, M., Chard, R., Chard, K., Rana, O., Nagra, H., Baughman, M., et al. (2022) · 2022 IEEE International Conference on Services Computing (SCC)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

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