Stefanie Mueller

Stefanie Mueller is an Associate Professor in the MIT Departments of Electrical Engineering & Computer Science and Mechanical Engineering, as well as a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Her research focuses on human-computer interaction and personal fabrication technologies, developing innovative hardware and software systems to advance manufacturing processes. A leading expert in her field, she has published numerous high-impact papers and frequently received Best Paper Awards and Honorable Mentions at CHI and UIST. Additionally, she serves as a member and chair on organizational committees for top-tier conferences such as ACM CHI and UIST. Her research spans manufacturing technology, interaction design, and computer-aided design, aiming to empower individuals to create their own products anytime, anywhere.

• 2020–Present·Massachusetts Institute of Technology (MIT)·Associate Professor
  • Leads the Human-Computer Interaction Engineering (HCIE) Group, focusing on the development of hardware and software systems for personal fabrication technologies.
  • Teaches courses such as "6.810 Engineering Interactive Technologies" and "6.100 Introduction to Computer Science and Programming."
  • Enhanced laboratory course teaching approaches during the COVID-19 pandemic by developing hybrid teaching solutions.
• 2017–2020·Massachusetts Institute of Technology (MIT)·Assistant Professor
  • Conducted research in human-computer interaction and fabrication technologies, publishing numerous high-impact papers and earning multiple academic awards.
  • Organized ACM CHI and UIST conferences, advancing the field of fabrication research.

• 2016·Hasso Plattner Institute·Ph.D.
  • Field of Study: Human-Computer Interaction
  • Doctoral dissertation received ACM SIGCHI and GI Dissertation Award Honorable Mentions.
• 2013·Hasso Plattner Institute·Master's
  • Field of Study: IT Systems Engineering
• 2010·University of Applied Science Harz·Bachelor's
  • Field of Study: Media Computer Science