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 2026
Rivaaj Monsia, Daniel Young, Olivier Francon, Risto Miikkulainen, arxiv:2602.07299 (2026).
Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems 2025
Rivaaj Monsia, Technical Report, Department of Computer Sciences, The University of Texas at Austin.
Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems 2025
Rivaaj Monsia, Olivier Francon, Daniel Young, Risto Miikkulainen, arXiv:2508.19173 (2025).
Currently affiliated with Neural Networks