Summary
Daniel Lawson is a PhD student and researcher focused on machine learning, reinforcement learning, and robotics, currently affiliated with Mila after completing BS degrees in Computer Science and Data Science and ongoing graduate work at Purdue. With eight years of hands-on experience spanning academic research at Purdue’s Cognitive Robot Autonomy & Learning Lab and industry internships at Sandia National Laboratories and Plasma, he bridges theoretical RL research with practical ML systems engineering. He has built and benchmarked production-oriented ML tooling—such as an XGBoost training/serving pipeline—and contributed to projects analyzing opponent strategies from play-data, highlighting an interest in adversarial and behavioral modeling. Based in Dallas, his ongoing web presence (danielblawson.github.io) surfaces research updates and implementations, reflecting a commitment to reproducible, publishable work. Notably, he seeks PhD positions and research-focused internships or roles that combine robotics and RL with scalable model deployment.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Purdue University
Greenhill School