Divya Sundaresan is a PhD computer science researcher and practitioner with 8 years of experience applying reinforcement learning, cognitive modeling, and multi-agent methods to design ethical, efficient, and equitable sociotechnical systems. She leads an NSF-funded pilot to deploy a city-wide microtransit system in Wilson, NC, and has hands-on experience building user models and prosocial nudging frameworks that balance competing objectives via multi-objective RL. Her internships at the U.S. Naval Research Laboratory and IBM focused on ethical AI, decision-making under uncertainty, and explainable test-generation, reflecting a rare blend of theoretical rigor and applied engineering. Prior roles in analytics and enterprise data migrations give her a strong foundation in scaling systems and handling complex real-world data. Known for combining cognitive architectures like ACT-R with practical deployment goals, she bridges human-centered modeling and production-ready research.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at North Carolina State University
ISC-PCM Computer Science, 96.5%, ISC-PCM Computer Science, 96.5% at Vael's Billabong International School
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at National Institute of Technology Delhi
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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