Michael Paglia
Operations lead at Meta's Superintelligence Labs, orchestrating the convergence of human intelligence and artificial systems. Specialized research in spatiotemporal data architectures and signal processing.
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Operations lead at Meta's Superintelligence Labs, orchestrating the convergence of human intelligence and artificial systems. Specialized research in spatiotemporal data architectures and signal processing.
Download Resume
Leading operations at the intersection of AI research and product development
Graduated Summa Cum Laude with my Bachelor of Science in Computer Science from the University at Albany. Currently dabbling in multi-omics research at Albany Medical College.
Operations lead at Meta's Superintelligence Labs, where I orchestrate the intersection of human cognition and artificial intelligence systems. I serve as a strategic architect in the development pipeline, working directly with FAIR researchers to define the methodologies that will shape the next generation of AI.
My academic foundation spans computational theory and applied research, with a particular focus on spatiotemporal data architectures and advanced signal processing methodologies. Former member of the Data Management and Mining Lab and National Science Foundation research fellow.
I believe artificial intelligence should be deeply personal to the user, not a replacement for human capability, but an amplification of it. The next wave of AI will fundamentally restructure how we interact with technology, giving time back to the person and enabling focus on what truly matters: creativity, connection, and meaningful work.
Signal processing, biometric systems, genomic data analysis, and the convergence of healthcare technology with artificial intelligence.
Projects spanning research, development, and social impact
Nonprofit organization focused on community support and social impact initiatives in the Capital Region of New York.
Sparse dictionary encoding Python library developed as an extension of several machine learning research papers.
Bayesian optimization techniques applied to Premier League teams and players to analyze and predict hypothetical match scenarios.
Interpreter for a simple programming language, focusing on parsing and semantic analysis mechanics.
Python script to solve New York Times' "Connections" game using Google's word2vec tool.
Simulation of an operating system's functions including process scheduling, memory management, and file systems.