Richard Flores
Title: Student Trainee (General)
Technical Focus Areas: Data Science, Machine Learning, Artificial Intelligence
Missions/Projects: Space Mission Directorate Portfolio
Study Topics/Expertise: Neuromorphic Computing, Cognitive Modeling, Deep Learning, Neural Networks
Richard Flores is currently a Data Scientist at NASA’s Space Mission Analysis Branch (SMAB). With several years of experience as an AI/ML practitioner in Silicon Valley, he specializes in full-stack data science, including Database Architecture, Data Engineering, Data Analytics, and Machine Learning. His academic background features advanced coursework in predictive modeling and big data technologies, and he recently deepened his expertise by studying Deep Learning and Neural Networks at Stanford. His research is focused on Neuromorphic Computing and Cognitive Modeling in the field of Artificial General Intelligence.
Awards
- 2023 – AETC Resilience Award
Education/Professional Experience
- B.S. Physics from the University of Texas at El Paso
- M.S. Data Analytics from Western Governors University
- MBA from Western Governors University
- Ph.D. Data Science (current) at National University
Related Websites
LinkedIn profile
Hobbies/Interests
Trekkie, guitar enthusiast, hiking fan, and avid reader of sci-fi and fantasy novels