Research scientist at SB Intuitions, leveraging AI for scientific advancement. With a background in healthcare and drug discovery from my time at the University of Tokyo, Lily MedTech, and Preferred Networks, I build machine learning models to tackle real-world challenges. I earned my PhD in Computer Science (AI) from the Tokyo Institute of Technology.
Kaushalya Madhawa and Tsuyoshi Murata, “MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning”, Asian Conference on Machine Learning (ACML), 2020 [Arxiv]
Kaushalya Madhawa, Katushiko Ishiguro, Kosuke Nakago, and Motoki Abe, “GraphNVP: An Invertible Flow Model for Generating Molecular Graphs”, Arxiv preprint, 2019 [Arxiv]
Kaushalya Madhawa, Choong Jun Jin, Arie Wahyu Wijayanto, and Tsuyoshi Murata, “Robustness of Compressed Convolutional Neural Networks”, Workshop on Big Data for CyberSecurity (BigCyber-2018), IEEE International Conference on Big Data, Seattle, Washington, 2018