Summary
Ryan Wickman is a data scientist and PhD candidate in computer science with nine years of hands-on experience applying machine learning and reinforcement learning to real-world systems at Microsoft and Google. He has implemented deep RL algorithms (DQN, PPO) and built supply chain simulators for order fulfillment, translating research prototypes into production-informed experiments. Comfortable across Java, Python, C++, and web stacks, he blends networking and systems knowledge from university research with applied ML work on anomaly detection and schema-mapping using transformer embeddings. His background includes both low-level networking/NDN development and higher-level ML model integration into services, giving him a rare full-stack data-science perspective. Known for turning academic projects into deployable solutions, he leverages strong research rigor to solve engineering problems at scale. Based in the U.S., he continues to bridge PhD research with industry impact as a Data Scientist at Microsoft.
9 years of coding experience
3 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of Memphis
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at The University of Memphis