We design new protein drugs and enzymes using machine learning and quantum computing. Previously I worked on creating deep learning tools for digital pathology including cell detection, classification, segmentation, and counting.
More generally, I am interested in diverse applications of quantum computing and machine learning in health and social good. My expertise is in quantum optimization, reinforcement learning, and computer vision (Deep Learning - CNNs).
My research interests at the moment are quantum machine learning, constrained programming, meta-learning, few-shot learning, GAN's in general, and biologically inspired models. I have a technical background in Computational Neuroscience, Machine Learning, and Physics.
Aside from my research and entrepreneurial work, I also served as the Scientific Director for Potential Project International and as a Scientific Advisor for The Decision Lab where I consult on data science, the science of mindfulness and mind training, and decision-making.