Summary
Evans Howard is a research-driven operations researcher and data scientist with 11 years of experience applying optimization, probabilistic modeling, and reinforcement learning to large-scale, safety-critical problems. Currently a Student Intern at Sandia National Laboratories and a PhD candidate in Data Science, he has a strong academic track record including a PhD in Operations Research and master’s degrees in Applied Mathematics and Mathematical Engineering. His work focuses on modeling pedestrian emergency evacuation using Social Force Models combined with RL, blending theory from combinatorial and stochastic optimization with practical simulation and implementation. Evans has experience across academia and industry research roles in Europe, the U.S., and Ghana, which gives him a global perspective on applied algorithms and human-centered modeling. He brings deep expertise in sequential decision making, bandit methods, and Bayesian inference, and often merges database/ML tooling with simulation workflows to scale experiments. Colleagues describe him as someone who turns rigorous mathematical insight into robust, deployable solutions for complex, real-world systems.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, BSc Mathematics, First Class, Bachelor’s Degree, BSc Mathematics, First Class at Kwame Nkrumah' University of Science and Technology, Kumasi
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at The University of Texas at El Paso
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Universita degli studi dell'Aquila
Master’s Degree, Applied Mathematics, Master’s Degree, Applied Mathematics at University of Hamburg
Master’s Degree, Mathematical Engineering, Master’s Degree, Mathematical Engineering at Università degli Studi dell'Aquila