Additional Campus Affiliations
George and Ann Fisher Distinguished Professor, Electrical and Computer Engineering
Professor, Electrical and Computer Engineering
Professor, Computer Science
Professor, National Center for Supercomputing Applications (NCSA)
Professor, Carl R. Woese Institute for Genomic Biology
Professor, Coordinated Science Lab
Professor, Information Trust Institute
Professor, Biomedical and Translational Sciences
Recent Publications
Athreya, A. P., Brückl, T., Binder, E. B., John Rush, A., Biernacka, J., Frye, M. A., Neavin, D., Skime, M., Monrad, D., Iyer, R. K., Mayes, T., Trivedi, M., Carter, R. E., Wang, L., Weinshilboum, R. M., Croarkin, P. E., & Bobo, W. V. (Accepted/In press). Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings. Neuropsychopharmacology. https://doi.org/10.1038/s41386-020-00943-x
Saboo, K., Shamsaddini, A., Iyer, M. V., Hu, C., Fagan, A., Gavis, E. A., White, M. B., Fuchs, M., Heuman, D. M., Sikaroodi, M., Iyer, R. K., Gillevet, P. M., & Bajaj, J. S. (2021). Sex is associated with differences in gut microbial composition and function in hepatic encephalopathy. Journal of Hepatology, 74(1), 80-88. https://doi.org/10.1016/j.jhep.2020.06.046
Chen, H., Varatharajah, Y., Stewart de Ramirez, S. A., Arnold, P., Frankenberger, C., Hota, B., & Iyer, R. (2020). A Retrospective Longitudinal Study of COVID-19 as Seen by a Large Urban Hospital in Chicago. (medRxiv). Cold Spring Harbor Laboratory Press. https://doi.org/10.1101/2020.11.29.20240606
Chen, J., Banerjee, S. S., Kalbarczyk, Z. T., & Iyer, R. K. (2020). Machine learning for load balancing in the Linux kernel. In APSys 2020 - Proceedings of the 2020 ACM SIGOPS Asia-Pacific Workshop on Systems (pp. 67-74). (APSys 2020 - Proceedings of the 2020 ACM SIGOPS Asia-Pacific Workshop on Systems). Association for Computing Machinery. https://doi.org/10.1145/3409963.3410492
Hu, C., Anjur, V., Saboo, K., Reddy, K. R., OʼLeary, J., Tandon, P., Wong, F., Garcia-Tsao, G., Kamath, P. S., Lai, J. C., Biggins, S. W., Fallon, M. B., Thuluvath, P., Subramanian, R. M., Maliakkal, B., Vargas, H., Thacker, L. R., Iyer, R. K., & Bajaj, J. S. (2020). Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis. American Journal of Gastroenterology. https://doi.org/10.14309/ajg.0000000000000971