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Michelle Sit
Roboticist
Professional Background
Michelle Sit is an accomplished Computer Scientist specializing in a wide range of areas including Robotics, Path Planning, Computer Vision, and the Internet of Things. With an impressive portfolio of experience, Michelle has established herself as an expert in path planning, SLAM (Simultaneous Localization and Mapping), swarm robotics, and optimization. These fields not only showcase her technical prowess but also highlight her innovative thinking and commitment to advancing the boundaries of technology.
Michelle's professional journey is marked by her tenure at the prestigious MIT Senseable City Lab, where she served as a Project Lead and Software Developer. In this role, she was responsible for exploring various use-cases and developing intelligent actuations for sensors within urban environments, particularly focusing on cameras that enhance the interaction between technology and city environments. Her ability to intersect technological innovation with practical urban solutions demonstrates her forward-thinking approach to Robotics and Smart Cities.
Currently, she brings her expertise as an Autonomous Systems Engineer at MITRE, where she continues to contribute to research and development in autonomous systems, further underscoring her commitment to elevating technology in real-world applications. Michelle’s background is not only deep in technical skills but also rich in interdisciplinary experiences, allowing her to adopt a human-centered approach when engaging in complex projects.
Education and Achievements
Michelle’s educational background is robust and diversified, laying a strong foundation for her career in technology. She earned her Master of Science (MS) degree in Computer Science and Engineering from the highly acclaimed Jacobs School of Engineering at the University of California, San Diego. This program provided her with advanced knowledge and skills that have been invaluable throughout her professional journey.
Prior to her master’s degree, Michelle completed a Certificate in Engineering Studies, focusing on Mechatronics, Robotics, and Automation Engineering at Franklin W. Olin College of Engineering. This specialized education further honed her engineering skills and allowed her to apply theoretical knowledge into practical applications, particularly in the field of robotics.
Moreover, her foundational Bachelor of Arts (BA) degree in Psychology from Wellesley College contributes significantly to her unique perspective in the tech world. By understanding the human element alongside the mechanical, Michelle fosters a holistic approach to her projects in robotics, emphasizing usability and user experience in technological advancements.
Achievements
Throughout her career, Michelle Sit has achieved notable recognition for her contributions to the field of computer science and robotics. Her work at the MIT Senseable City Lab not only resulted in technological advancements but also set a precedent for future interdisciplinary approaches to urban sensor technology that integrate seamlessly with daily life in smart cities.
In addition to her role at the Senseable City Lab, Michelle’s contributions as a Research Fellow in Computational Robotics at the same institution emphasize her involvement in cutting-edge research, driving forward the frontiers of robotics technology. Her continuous alignment with MIT's innovative environment has placed her at the center of ground-breaking projects, facilitating significant developments in robotic operations and applications.
Her prior experience as an Engineering Intern at AeroVironment and her participation as a Logistics Officer at the MIT Robocon Conference further demonstrate her commitment to the field, equipping her with a wealth of practical experience and insights into organizational demands within the robotics and engineering sectors.
With a career shaped by a diverse range of experiences and a steadfast dedication to human-centered technology, Michelle Sit stands out as a forward-thinking leader and expert in the realms of robotics, sensor technology, and optimization. Her multifaceted competencies and passion for innovation position her as a significant contributor to the tech community and an exceptional role model for aspiring engineers in the field.