Summary
Selma Wanna is a robotics and natural language researcher with 11 years of hands-on experience building embedded drivers, ROS-based robotic platforms, and interactive language interfaces to make complex robots accessible to nontechnical users. Currently a Graduate Student Researcher at UT Austin and contributor to the open-source TeMoto2 framework, she combines low-level firmware work (Arduino, TI Launchpads, USB/microcontroller debugging) with machine-learned semantic frame parsing and logical form representations. Her background includes industry research at Los Alamos National Laboratory, where she designed an automated docking system and streamlined multi-repo deployments, and undergraduate leadership in IEEE RAS that led to competition experience and long-term lab contributions. Known for bridging hardware-software gaps, she pursues a practical vision of conversational robot control inspired by early Star Wars fandom and is actively open to collaboration.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at The University of Texas at Austin
English, French