Michelangelo D'Agostino

Michelangelo D'Agostino is a distinguished leader in AI and Machine Learning, with extensive experience across various industries including e-commerce, finance, and consumer technology. He currently serves as VP of Machine Learning at Grainger, following leadership roles at Tegus, Cameo, and ShopRunner. His work focuses on building data-driven products and leveraging advanced ML techniques, including NLP and Large Language Models, to solve complex business challenges. nitter+2

A former particle physicist, D'Agostino transitioned his analytical and statistical expertise into the field of data science. His academic background includes a PhD in Physics from UC Berkeley, where he worked on the IceCube Neutrino Observatory in Antarctica, and an AB in Physics from Harvard University. This scientific rigor forms the foundation of his data-driven approach to business and technology. aip+2

D'Agostino played a pivotal role in the 2012 Obama presidential campaign as a Senior Analyst on the digital analytics team. He applied his data science skills to optimize fundraising efforts and voter engagement through extensive A/B testing of emails and webforms, and by building predictive models, demonstrating how data can influence political outcomes. aip+2

He is an advocate for effective data science leadership and has co-authored the O'Reilly Media report "The Care and Feeding of Data Scientists," providing guidance on building, managing, and retaining data science teams. This reflects his commitment to fostering talent and best practices within the data science community. oreilly+3

D'Agostino's expertise extends to open-source contributions, evidenced by his personal GitHub project, 'openai-realtime-streamlit'. This project, which ports OpenAI's real-time console to Streamlit, showcases his practical coding skills and engagement with cutting-edge AI development tools. github+1

Beyond his professional career, D'Agostino has a background in science journalism, having worked as a freelance contributor and intern for The Economist, where he wrote about science and technology. He also has teaching experience as a physics instructor and an adjunct professor, highlighting his ability to communicate complex topics. aip+1