I am a Machine Learning PhD Sutdent at Georgia Tech. I received my BS and MS degrees in Aerospace Engineering from Georgia Tech during which my research focused on the fields of electric propulsion and satellite reliability. Throughout this time, I persued a medley of machine learning passion projects that spanned fields of public health, public policy, and social issues. This work left a permanent impression on my heart, so much so that after a year working as an aerospace engineer, I have returned to GT for my PhD in Machine Learning with the goal of applying machine learning for social good.
Machine learning for human trafficking: predicting types of trafficking and means of control
Term Project: Data and Visual Analytics (Spring 2022)
David Gomez,
Alexander Bendeck,
Kaylee Tian,
Patrick Li
[PDF]
[POSTER]
[VIDEO]
[WEBSITE]
On electic propulsion thrust stands: comprehensive uncertainty analysis and modernized conceptual design
NASA Space Technology Research Fellow at JPL (Summer 2020)
David Gomez
[PDF]
Challenging the inevitability of suicide: the effect of gun regulation on overall suicide rates and portfolio of preventative measures
Term Project: Accident Causation and System Safety (Fall 2019)
David Gomez,
Jose Sanchez,
Danial Baum
[PDF]
[POSTER]
[SLIDES]
From Regression Analysis to Deep Learning: development of improved proxy measures of state-level household gun ownership
Patterns: Cell Press (2020)
David Gomez,
Zhaoyi Xu,
Joseph Saleh
[PDF]
[CODE]
Monte-Carlo value analysis of High-Throughput Satellites: value levers, tradeoffs, and implications for operators and investors
PLOS ONE (2019)
Fan Geng,
David Gomez,
Yue Guan,
Joseph Saleh
[PDF]
[CODE]
Understanding High-Throughput Satellites: market disruptions, technology, and value analysis
70th International Astronautical Congress (2019)
Fan Geng,
David Gomez,
Yue Guan,
Joseph Saleh
[PDF]
[CODE]
PhD., Machine Learning, Georgia Tech (present)
MS, Aerospace Engineering, Georgia Tech (2020)
BS, Aerospace Engineering, Georgia Tech (2018)