Summary
Emily Jamison is a Co-founder and CTO with a PhD in NLP and over a decade of hands-on experience building and operationalizing NLP/ML systems in both startups and enterprise settings. She combines cutting-edge research expertise with Lean Startup and Lean Thinking methods to rapidly identify high-ROI AI opportunities and run cost-effective MVP experiments that validate product-market fit. Emily has led teams and hiring for production-grade NLP products, negotiated features with stakeholders, and delivered audited, scalable architectures for mission-critical applications. Her background spans academic research in prosody and forensic NLP to directing applied-AI efforts at JPMorgan Chase, giving her rare fluency across theory, industry constraints, and regulated enterprise environments. She’s particularly focused on avoiding common AI project failure modes—early involvement of ML expertise, right-sized teams, and continuous customer-driven course correction. Based in New York, she advises founders and VCs on aligning technical strategy, team structure, and measurable outcomes for profitable AI investments.
12 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Two majors: Linguistics and Music (Music Theory), Bachelor’s Degree Two majors: Linguistics and Music (Music Theory) at University at Buffalo
Master’s Degree Linguistics, Master’s Degree Linguistics at The Ohio State University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Ubiquitous Knowledge Processing Lab, TU Darmstadt
English