Primarily, I’m an AI engineer and researcher, helping organizations and businesses become AI native. I’m also the founder of Symbolia Labs, where we build AI-native platforms for science, health, climate, and public-good innovation. Previously, I was a researcher at the University of Waterloo working at the intersection of AI and science. Before that, I worked in AI for Biology. I was a ML engineer at Gandeeva Therapeutics, where I designed proteins and antibodies. For my Ph.D., I designed representations for Biology, working with Libbrecht lab.
IISc Bengaluru
University of Waterloo
Royal Bank of Canada
The University of British Columbia
Dsouza, K. B., Ofosu, E., Amaogu, D. C., Pigeon, J., Boudreault, R., Maghoul, P., ... & Leonenko, Y. (2025). BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management. arXiv preprint arXiv:2509.19846. Accepted at ICLR, 2026.
Dsouza, K. B., Watt, G. A., Leonenko, Y., & Moreno-Cruz, J. (2025). Structuring Collective Action with LLM-Guided Evolution: From Ill-Structured Problems to Executable Heuristics. arXiv preprint arXiv:2509.20412.
Dsouza, K. B., Watt, G. A., Leonenko, Y., & Moreno-Cruz, J. (2025). Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization. arXiv preprint arXiv:2508.06386. Accepted in NPJ Sustainable Agriculture, 2026.
Dsouza, K. B., Ofosu, E., Salkeld, J., Boudreault, R., Moreno-Cruz, J., & Leonenko, Y. (2025). Assessing the climate benefits of afforestation in the Canadian Northern Boreal and Southern Arctic. Nature Communications, 16(1), 1964.
Dsouza, K. B., Maslova, A., Al-Jibury, E., Merkenschlager, M., Bhargava, V. K., & Libbrecht, M. W. (2022). Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformation. Nature Communications, 13(1), 1-19.
Koppisetti, N. R. S. V. P., Dsouza, K. B., Boostanimehr, H., & Mallick, S. (2022). U.S. Patent Application No. 17/825,304.
Dsouza, K. B., Li, A. Y., Bhargava, V., & Libbrecht, M. W. (2021). Latent representation of the human pan-celltype epigenome through a deep recurrent neural network. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Prasad, K. S. V., D’souza, K. B., & Bhargava, V. K. (2020). A downscaled faster-RCNN framework for signal detection and time-frequency localization in wideband RF systems. IEEE Transactions on Wireless Communications, 19(7), 4847-4862.
Talks at 4DN, RECOMB, MLCB, Epigenetics Meeting, Online
Joint-Secretary at Autism Society of Udupi (ASU), a non-profit organisation in Udupi, India, that aims to create awareness about Autism among parents, teachers, health professionals, students, general public, and all the stakeholders, so that early diagnosis and early intervention could give the child maximum benefits
Past mentor at Climate Hub, iGEM, UBC, Lets Talk Science, and Geneskool, Genome BC