Vera Moffitt, PhD

Vera Moffitt, PhD has a diverse and extensive work history in the fields of development, research, and analytics. Vera is currently working at Ascend Analytics as the VP of Development (Engineering) since February 2023. Before that, they held the role of Sr Director of Development at Ascend Analytics from April 2021 to February 2023.

Prior to joining Ascend Analytics, Vera worked at Lockheed Martin as a Research Manager from April 2019 to April 2021. Vera also held various positions at Sikorsky, including Manager of Commercial Fleet Analytics from October 2017 to April 2019 and Data Scientist from June 2017 to October 2017.

Earlier in their career, Vera participated in the Doctoral Leadership Program at Lockheed Martin from June 2014 to June 2017. Vera also served as a Lead Engineer at Lockheed Martin from January 2009 to June 2014, where they were responsible for leading teams, developing proof-of-concept systems, and pursuing new business opportunities.

Vera's work experience includes a role as a Senior Engineer at Lockheed Martin Corporation from January 2002 to January 2009. Vera began their career as a Software Developer co-op at PRICE Systems from 1997 to 1999, where they gained experience in development and customer support.

Overall, Vera Moffitt, PhD has a strong background in leadership, development, research, and analytics, with experience in both the private and public sectors.

Vera Moffitt, PhD, holds a Doctor of Philosophy (PhD) degree in Information Science/Studies from Drexel University, which they obtained from 2011 to 2017. Prior to their doctoral studies, they earned a Master of Science (MS) degree in Computer Science from Drexel University between 1999 and 2001. Their undergraduate education includes a Bachelor of Science (BS) degree in Computer Science, which they completed at Drexel University from 1996 to 1999.

In addition to their formal degrees, Vera Moffitt has also obtained various certifications. These include "Structuring Machine Learning Projects" from Coursera, obtained in March 2019, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera, obtained in February 2019, "Neural Networks and Deep Learning" from Coursera, obtained in January 2019, and "Machine Learning" from Coursera, obtained in September 2016.