Matthew DeGostin

MIDS Student


My focus is understanding how analytics can supplement the engineering design process, and its role in Digital Thread/Twin technologies.


Data Science
Product Management
Software Development


Hello, my name is Matt DeGostin and I have joined the MIDS program as part of the Spring 2019 cohort.  My educational background is in Mechanical Engineering; I obtained my B.S. and M.S. in ME from UConn in 2013 and 2015, respectively. My focal areas in graduate school were Heat Transfer and Fluid Dynamics, and my research was primarily in clean energy technology, nano-scale imaging, and transport network modeling (https://www.researchgate.net/scientific-contributions/2037261951_Matthew...).

After my M.S. I entered the Aerospace industry as an Engineer for MTU, and for the past 2 years for Pratt & Whitney in East Hartford, CT.  I am currently a Senior Data Analytics & Methods Engineer, focused on development and improvement of engineering software tools and processes.  I work with software and processes related to physics-based modeling, statistical analysis and regression modeling, process automation, design for variation, metrology and image processing, and data analytics.

My goal in joining the MIDS program is to obtain a deeper understanding of the state of the art in data science and machine learning. In particular, I would like to explore the potential for data science to augment the traditionally deterministic physics-based design process for engineered products. This of course extends into product lifecycle management and product maintenance, an area which is rapidly converging with advanced digital technologies such as Digital Thread and Digital Twin. Finally, I am fascinated by the capabilities of Deep Learning models, and would like to gain a better understanding of the latest advances in that area. 

Please feel free to reach out to me, I look forward to working with all of you.

Last updated:

July 8, 2020