Lama Nachman

Lama Nachman

Lama Nachman Intel Senior Fellow, Director of Intelligent Systems Lab, Intel Labs


Lama Nachman is an Intel Senior Fellow and serves as the Director of Intelligent Systems Research Lab within Intel Labs. With a profound commitment to advancing human potential through AI, her research centers on Responsible Human AI Collaboration. Leading a diverse and multi-disciplinary team of researchers, Lama delves into innovative user experiences, sensing systems, algorithms, and applications, with a focus on transferring these advancements to Intel's business units to shape the future of their products. With 26 years of expertise spanning context-aware computing, human/AI systems, responsible AI, multi-modal interactions, sensor networks, computer architecture, embedded systems, and wireless technologies, Lama also spearheads Intel's Responsible AI program and the RAI Advisory Council. 

In addition to her research, Lama has made significant contributions to the academic community. She has served as an editor for prestigious publications such as IMWUT (Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies) and TIOT (IEEE Transactions on Internet of Things) as well as many other top tier Technical Program Committees over the years. Furthermore, Lama actively participates in cross-industry programs and partnerships bridging the gap between academia and industry to drive innovation and societal impact.

One of her most notable accomplishments was her collaboration with the renowned Professor Stephen Hawking. Commencing in 2012, Lama led a dedicated team in developing a groundbreaking software platform and sensing system that facilitated Hawking's communication. She further championed the open-source release of this technology, empowering individuals with disabilities worldwide to communicate effectively and live with increased independence. With a passion for technology and a dedication to responsible AI, Lama continues to shape the landscape of AI research, ensuring that its benefits are accessible to all. Lama's academic background includes a BS and MS in computer engineering from the University of Wisconsin-Madison, and she has over 80 publications across her diverse research interests.