Randi Williams

Personal Robots
  • Research Assistant

Randi Williams is a graduate research assistant in the Personal Robots group at the MIT Media Lab. She received her Master of Science in Media Arts in Sciences from MIT in 2018 and her Bachelor of Science in Computer Engineering from UMBC in 2016. 

Randi is working to empower children with artificial intelligence (AI) education. She has developed a number of AI education projects, including PopBots, social robot learning companions that teach AI through social interaction. Additionally, she works with her group to run studies that investigate children’s relationships with intelligent agents. To combat the current trend of misunderstanding and mistrust of AI, Randi is preparing the next generation to use AI to solve important problems in their communities. Her research intersects human-robot interaction and early childhood education with a particular focus on engaging students from diverse backgrounds. Currently, she is working with educators to design culturally relevant AI and engineering curricula that teach technical concepts through hands-on projects.

Previously, she worked at UMBC’s Mobile, Pervasive, and Senso… View full description

Randi Williams is a graduate research assistant in the Personal Robots group at the MIT Media Lab. She received her Master of Science in Media Arts in Sciences from MIT in 2018 and her Bachelor of Science in Computer Engineering from UMBC in 2016. 

Randi is working to empower children with artificial intelligence (AI) education. She has developed a number of AI education projects, including PopBots, social robot learning companions that teach AI through social interaction. Additionally, she works with her group to run studies that investigate children’s relationships with intelligent agents. To combat the current trend of misunderstanding and mistrust of AI, Randi is preparing the next generation to use AI to solve important problems in their communities. Her research intersects human-robot interaction and early childhood education with a particular focus on engaging students from diverse backgrounds. Currently, she is working with educators to design culturally relevant AI and engineering curricula that teach technical concepts through hands-on projects.

Previously, she worked at UMBC’s Mobile, Pervasive, and Sensor Systems Lab and has also interned at NASA Jet Propulsion Lab, MIT Lincoln Lab, and AliphCom/Jawbone.