Rivaaj Monsia
Undergraduate Student
Rivaaj is a CS undergrad student interested in the application of deep learning for biochemical and biomedical tasks. His research has focused on receptor-ligand interactions, specifically binding affinity prediction of small molecules and antibodies via graph-based neural nets and protein language models, respectively. He plans on attending medical school after graduation.
Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution Rivaaj Monsia, Daniel Young, Olivier Francon, Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference, 2026. 2026

Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems Rivaaj Monsia, Olivier Francon, Daniel Young, Risto Miikkulainen arXiv:2508.19173, 2025. 2025

Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems Rivaaj Monsia Technical Report, Department of Computer Sciences, The University of Texas at Austin, Austin, Texas,... 2025