Dustin Marx

Dustin Marx is a passionate individual deeply involved in the fields of deep learning and data science, approaching challenges from a statistical perspective.

With a strong background in econometrics, statistics, predictive modeling, and game theory, Dustin possesses a versatile skill set to tackle machine learning optimization problems.

He envisions the extensive potential of deep learning across various industries and is keen on leveraging these technologies to create substantial value.

Dustin's recent work showcases a focus on deep learning, big data, and econometrics, with notable projects such as cancer detection and segmentation models, text predictors, big data processing with Apache technologies, and econometric analysis for policy decision-making.

His educational background includes a Bachelor of Science in Economics with a minor in Computer Science from Brigham Young University.

Dustin has previously been associated with organizations like HireVue, BYU Crocker Innovation Fellows, Brigham Young University, and the Business Incubator of State University - Higher School of Economics.