Nate started his career in LEDs and solar cells but moved to data science.  He has been teaching and developing several data science and math courses at Regis since 2017.  Nate’s expertise includes data engineering (database technologies such as MongoDB and PostgreSQL), data science (Python, R, statistics) and machine learning.  His research interests include neural networks applied to electroencephalography, machine learning applied to chemistry, cybersecurity, and machine learning algorithms.

Curriculum Vitae