Christopher Diltz, PhD

Principal Developer and Hardware Verification Engineer at Edaptive Computing, Inc.

Christopher Diltz, PhD has a well-rounded work experience in two different companies. From 2017 to the present, they have worked at Edaptive Computing, Inc. as a Principal Developer and Hardware Verification Engineer. In this role, they specialize in hardware design verification and validation, utilizing various open source and commercial EDA tools. Christopher is also proficient in data analytics, machine learning, and deep learning for DoD funded projects.

Before joining Edaptive Computing, Inc., Christopher worked as a Graduate Student at Ohio University from 2010 to 2016. Their research focused on the properties of supermassive black holes in the centers of active galactic nuclei. Christopher developed mathematical models to simulate the acceleration of charged particles in the relativistic jets of blazars, a subclass of active galactic nuclei. Their work also involved modeling the electromagnetic radiation emitted by these particles and comparing it with the type and distribution of accelerated particles within the jet.

Christopher Diltz, PhD, completed their education in physics and astronomy and astrophysics. Christopher obtained their Bachelor of Science (BS) degree in Astronomy and Astrophysics from Ohio University, where they studied from 2006 to 2010. Following their undergraduate studies, they enrolled in Ohio University's doctoral program in physics and earned their Doctor of Philosophy (PhD) degree in Physics from the same institution in 2016.

In addition to their formal education, Christopher Diltz has also obtained various certifications in data analysis and visualization from DataCamp. These certifications include "Cleaning Data in R," "Data Visualization in R with ggvis," "Data Visualization with ggplot2 (1)," "Data Visualization with ggplot2 (2)," "Importing Data into R," "Intermediate R," "Introduction to Statistics with R: Introduction," "Introduction to Statistics with R: Student's T-test," and "Introduction to Machine Learning." The specific months and years of when they obtained these certifications are not provided.

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