Matthew T. Dunn

In an interim capacity, help establish the company’s AI and scientific computing capabilities, developing protein language models for LNP design and optimization and AI-assisted platforms for literature analysis and scientific diligence.

Raised $2M in seed financing, built the founding team, and developed a production AI platform for real-asset due diligence, including retrieval, distributed inference, and agentic query routing.

Set annotation and forward-deployed engineering strategy and prototyped model adaptation methods for production language model applications.

Led a 20-person applied research team and company-wide deployment of deep learning across conversational AI products.

Built and led an applied NLP research team delivering production language models for LivePerson Conversational Cloud.

Helped build the applied machine learning team and developed NLP methods for large conversational datasets.

Worked on the SearchQA dataset and open-domain question answering in the CILVR group.

Developed simulation, forecasting, and probabilistic bidding models for U.S. electricity capacity markets.

Built a laboratory information management system for high-throughput genetic sequencing diagnostics.