Lambert Mathias

About Lambert Mathias

I build AI systems that transform complex real-world signals into structured understanding and action. Today, I focus on advancing the next generation of agentic AI for enterprise systems at JPMorgan Chase—designing architectures where perception, memory, reasoning, and tools come together to operate reliably at scale. My work is centered on memory-augmented systems, multimodal intelligence, and production-grade AI that can function in real-world environments under constraints. Previously at Meta, I led research on multimodal AI and memory systems at Reality Labs, including Project Aria’s “super memory” architecture and proactive modeling for Ray-Ban smart glasses. I also worked on AI integrity, building large-scale retrieval-augmented systems for content understanding and safety that operated at internet scale. At Amazon Alexa AI, I was a Principal Scientist and part of the team that built Alexa’s multi-domain natural language understanding, enabling cross-domain conversational context and powering a large ecosystem of skills and developers. Earlier, at Nuance Communications, I worked on mobile speech systems that contributed to platforms like Apple Siri, focusing on robust speech recognition in real-world environments. Across these experiences, a common thread in my work is designing systems that bridge perception and intelligence—combining multimodal inputs, structured memory, and reasoning to enable AI that can understand context and act effectively. I’m particularly interested in: Agentic AI and tool-using systemsMemory-augmented architectures and long-context reasoningMultimodal perception and groundingScalable AI systems deployed in real-world environments

Experience

1. Managing Director

   JPMorganChase

   Mar 2026 — Present · Seattle, WA, US

   Working on agents, with agents, for enterprise AI

Education

• University of Mumbai

  BE, Electrical and Computer Engineering

  1996 — 2000

• Michigan State University

  MS, Electrical and Computer Engineering

  2000 — 2002

• The Johns Hopkins University

  Doctor of Philosophy (PhD), Electrical Engineering

  2002 — 2007

Skills

• Speech Processing
• Natural Language Processing
• Speech Recognition
• Pattern Recognition
• Machine Learning
• Computational Linguistics
• Text Mining
• Information Extraction
• Information Retrieval
• Language Technology
• Machine Translation
• Algorithms
• Signal Processing
• Artificial Intelligence
• Python
• Statistical Modeling
• Project Management
• Clinical Research
• Clinical Trials
• Data Analysis
• Information Visualization
• Irb Protocol
• Mysql
• Usability Testing
• Spss
• Epic Systems
• Controlled Vocabularies
• Icd-9
• Mesh Classification
• Survey Design
• Lung Cancer Screening Guidelines
• Metadata Standards
• Marc21
• Writing
• Research
• Data Collection
• Grant Writing
• Informatics
• Microsoft Office
• Statistics