Sheila Alemany

AI Research Scientist - Technical Staff at MIT Lincoln Laboratory

Miami, Florida, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job7 years of employment as a software developer
bookBachelor 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
bookDoctor 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
languagesEnglish, Spanish
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Github Skills (4)

css5
javascript4
java3
spark2

Programming languages (1)

CSS

Github contributions (5)

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sheilaalemany/hurricane-rnn

Jan 2018 - Jan 2022

Contributions:27 commits, 19 pushes, 1 branch in 4 years
Personal Academic Website
Contributions:9 PRs, 202 pushes in 7 years 10 months
cssjavascript
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Sheila Alemany - AI Research Scientist - Technical Staff at MIT Lincoln Laboratory