AI Research Scientist - Technical Staff at MIT Lincoln Laboratory
Miami, Florida, United States
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Summary
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Sheila Alemany is an AI research scientist and technical staff member at MIT Lincoln Laboratory with nine years of experience spanning adversarial machine learning, cybersecurity, and mobile wireless sensor networks. She holds a Ph.D. in Computer Science from FIU (NSF GRFP and GEM fellow) and has published work characterizing how data transformation techniques introduce vulnerabilities in ML models while developing frameworks to speed adversarial analysis. Her background blends rigorous theory (perfect 4.0 graduate GPA) with practical large-scale data work—spark and Hadoop graph-based feature extraction for terabytes of unlabeled network data. Sheila’s early research applied economic models to improve trust and data accuracy in resource-constrained sensor networks, a recurring theme of making systems both robust and efficient. Based in Miami, she pairs strong math instincts with hands-on engineering to bridge academic insights and operational cybersecurity needs.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.78/4.00, Bachelor of Science - BS, Computer Science, 3.78/4.00 at Florida International University - College of Engineering & Computing
Doctor of Philosophy - PhD, Computer Science, 4.00/4.00, Doctor of Philosophy - PhD, Computer Science, 4.00/4.00 at FIU School of Computing and Information Sciences
Contributions:9 PRs, 202 pushes in 7 years 10 months
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Sheila Alemany - AI Research Scientist - Technical Staff at MIT Lincoln Laboratory