Bismark Dankwah Addo

The researcher has expertise in machine learning with a strong mathematical foundation, focusing on optimization techniques for neural network models. Their work encompasses both convex and non-convex optimization, exploring distributed systems and asynchronous communication protocols. They are particularly interested in Byzantine fault-tolerant learning systems, which enhances robustness under adversarial or failure-prone environments. The research integrates theoretical foundations with algorithm development and practical deployment across diverse domains such as healthcare and finance, leveraging quantum computing applications. Their work emphasizes collaboration with industry partners and utilizes open-source software to drive impactful solutions in real-world scenarios.