Graduate Research Assistant, Materials Informatics and Machine Learning
2025–Present

Computational and systems biology, genome-scale metabolic modeling, multi-omics integration, AI for drug discovery, polymer informatics, digital twins, and high-performance scientific computing.
Peer-reviewed journal articles, conference publications, book chapters, and manuscripts currently under review in top-tier journals in bioinformatics, computational biology, and materials science.
Learn about Sabyasachi Mohanty, his education, mentors, collaborators, and open research opportunities in computational biology, AI, and materials informatics.
Award, 2026
Award, 2026
Award, 2026
Selected peer-reviewed work from Sabyasachi Mohanty's research portfolio.
Sultana, H., Mohanty, S., Solomon, A. D., Iqbal, M. Y., Wani, A. K., Kumar, V., Khattri, A.
Volume 48, Issue 7, e70160, 2026.
Solomon, A. D., Vats, H. K., Chowdhary, S., Kanoujiya, S. N., Prakash, A., Mohanty, S., et al.
34(3), 5.
Bessell, B., Loecker, J., Zhao, Z., Aghamiri, S. S., Mohanty, S., et al.
Volume 24, Issue 6, November 2023, bbad387.
Sabyasachi Mohanty is a Ph.D. student in Complex Biosystems at the University of Nebraska-Lincoln, specializing in Chemical Engineering. He is a computational biologist and data scientist whose research spans genome-scale metabolic modeling, multi-omics integration, AI-driven drug discovery, pharmacometric modeling, and polymer and materials informatics.
His work has been published in Briefings in Bioinformatics, Oncology Research, PeerJ, and F1000Research, and supported by NSF MICRA, the U.S. Department of Defense, and NSRI.