David Van Dyke is an industry professional specializing in petroleum refinery economics, product quality, and process optimization. His work focuses on applying data science and artificial intelligence to practical industrial problems, with an emphasis on decision support, operational realism, and business value. He is a Chemical Engineer by background and is interested in how predictive modeling, deep learning, and reinforcement learning can help engineers and process operators better understand complex chemical process behavior. The models are used to evaluate potential operating scenarios before actual changes are made.
