Stevens is a Data Scientist/Programmer Analyst with extensive experience working with a range of technologies in various fields. He holds a Ph.D. in Nanotechnology and Materials Science from the City University of New York graduate school, and has worked on numerous software and scientific research projects over the last 10 years.

Software projects have ranged from development of a widely used archival management system with Mandell (Archivists’ Toolkit) at NYU, to several web-based and mobile applications. He has also developed several data analysis/visualization and instrument control software, one of which was featured in a leading scientific research journal.

Most recently, Nathan has worked on several machine learning projects involving R, Python and Java. These range from developing models to predict sidewalk damage caused by urban trees, to doing pattern analysis on over 100GB of sensor data. Steven’s scientific research has covered the areas of nanomaterials, spectroscopy, photonics, and sensors. Additionally, as a postdoctoral research scientist at Columbia University, he helped design novel molecular probes which allowed real-time tracking of RNA within cells.

Moreover, Stevens is also co-founder of Instras Scientific LLC, which specializes in producing low-cost scientific instruments using off-the-shelves components and customized firmware, combined with innovative hardware design. These instruments cost a fraction of commercial units, and are currently used at leading research institutions the world over.

Stevens is also an adjunct professor in the Chemistry department at New York City College of Technology.