Jacob Andreas

Jacob Andreas is an Associate Professor of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT), affiliated with the MIT-IBM Watson AI Lab and the School of Engineering. His research focuses on advancing artificial intelligence, machine learning, and natural language processing, with particular emphasis on neurosymbolic methods, language model reasoning, and interdisciplinary applications such as AI governance and bioacoustic analysis of sperm whale communication.

He explores the intersection of language models and robotics, developing techniques for scalable system-level reasoning, code generation, and efficient computation allocation. His work also addresses societal challenges, including mitigating misinformation through generative AI and informing policy through white papers on AI governance.

Andreas’s contributions span foundational ML theory (e.g., scaling laws) and applied systems (e.g., WhaleLM for bioacoustic analysis). He collaborates across disciplines, integrating cognitive science insights into model design and advocating for ethically aligned AI development. His research has been recognized in MIT’s EECS Faculty Awards and contributes to MIT’s broader mission of impactful technological innovation.

While no specific awards are listed, his active role in high-impact projects underscores his academic leadership. His advising and grant work drive collaborative research in AI, with a focus on training next-generation researchers through the MIT-IBM Watson AI Lab and interdisciplinary initiatives.