Additional Campus Affiliations
Associate Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
Associate Professor, Industrial and Enterprise Systems Engineering
Associate Professor, Computer Science
Associate Professor, Coordinated Science Lab
Associate Professor, Beckman Institute for Advanced Science and Technology
Affiliate, Carl R. Woese Institute for Genomic Biology
External Links
Recent Publications
Ferwana, I., & Varshney, L. R. (2024). The impact of COVID-19 lockdowns on mental health patient populations in the United States. Scientific reports, 14(1), Article 5689. https://doi.org/10.1038/s41598-024-55879-9
Hemmatian, B., Varshney, L. R., Pi, F., & Barbey, A. K. (2024). The utilitarian brain: Moving beyond the Free Energy Principle. Cortex, 170, 69-79. https://doi.org/10.1016/j.cortex.2023.11.013
Leburton, J.-P., Varshney, L. R., Sarathy, A., & Athreya, N. B. (2024). Classification Of Epigenetic Biomarkers And/or DNA Conformational Superstructures Via Use Of Atomically Thin Nanopores. (U.S. Patent No. 11860123).
Alexander, F. J., Reyes, K. R., Varshney, L. R., & Yoon, B. J. (2023). AI for optimal experimental design and decision-making. In Artificial Intelligence For Science: A Deep Learning Revolution (pp. 609-625). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789811265679_0032
Basu, S., Sattigeri, P., Ramamurthy, K. N., Chenthamarakshan, V., Varshney, K. R., Varshney, L. R., & Das, P. (2023). Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. In B. Williams, Y. Chen, & J. Neville (Eds.), AAAI-23 Technical Tracks 6 (pp. 6788-6796). (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; Vol. 37). American Association for Artificial Intelligence (AAAI) Press.