Chris Murphy is a Senior Data Scientist and AI engineer in Boston with nine years of experience building production-grade multi-agent systems, information retrieval, reinforcement learning, and fine-tuned models across text, multimodal, audio, diffusion, and biological domains. He pioneered low-resource language modeling in 2019 by training LLMs for Kikuyu and Luganda, representing 15 million Kenyan speakers, and brings practical experience in quantization, efficient inference, and prompt engineering. Certified in MEDDPICC, AI & BioTechnology from MIT, and AI Product Management, he blends technical depth with product and go-to-market sensibilities. His work spans genomics, molecular and protein modeling to single-cell analysis, revealing a rare cross-disciplinary fluency between ML and life sciences. Chris has consulted on high-impact campaigns (including programmatic advertising for the 2016 US Presidential race) and maintains a public portfolio and blog that document applied ML projects and practical trade-offs. He excels at translating cutting-edge research into deployable systems that serve underserved languages and scientific use cases.
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