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Qingyun Liu

Creative Technologist, Human Computer/AI Interaction Designer, XR Developer

I am a mixed reality and responsive spatial designer dedicated to creating tangible interaction between people, environment and evolving social and cultural contexts. My journey through mediums, prototyping, and computational design across China, Germany, and the United States has fueled my passion for shaping cross-reality environments as “the extensions of man” (McLuhan, 1964) and designing interactive, tangible experiences grounded in an understanding of human perception.


I focus on tangible interaction in XR design bridging people and their surroundings across realities, time, and space.
Beyond simply feeling objects in virtual spaces, MemoGlove emphasizes tangible telepresence, enabling users to reconnect with memories, even when beloved objects or people are no longer physically present. An air pressure sensor embedded in the glove captures and records the movement and pressure of the interaction as users touch objects. This data is visualized through a VR headset, allowing users to see their touch traces even without the original object. When their hand aligns with the recorded trace, the air pressure sensor activates an inflatable heating pad that inflates and warms, recreating the sensation of touching the original object. MemoGlove integrates VR headsets, physical interaction, and personal memories to co-construct a telepresence reality. It empowers users to build and interact with virtual and physical environments through a tangible experience across time and space.

I engage in creating XR and AI tools and mediums that augment people, environment, and culture.
Astronia, a wearable mixed-reality system, guides users from the tangible to the virtual. It integrates hardware and software development to create a responsive environment that seamlessly connects the physical and digital worlds. It features a mechanical glove equipped with photography and projection functions, alongside a VR headset that enables 3D model generation, gesture-based drawing, and visualization of personal environments in an immersive way. In the Rethink Subway Map project, I used machine learning to explore and represent three different perceptions of the city. This included mapping landmarks’ viewpoints through object detection with 436,602 street views, mapping the soundscape via image segmentation and classification, and mapping people’s emotions using natural language processing on 126,017 social media posts. Through these data, I designed a visualization platform to unfold spatial, social, and cultural dimensions of the city and strengthen interactions between people, space, and the local culture.

I design to better understand people’s perceptions and shape responsive environment.
In the Emotion Suzhou City project, I combined electroencephalogram (EEG) data with VR to study people’s emotional responses. I developed realistic and painting-style urban VR environments based on 3D scanned models and tested them on 12 participants with subthreshold depression. By analyzing real-time brainwave data provided by EEG, I quantified how people’s emotions fluctuate in response to different VR environments. Through this, I provided more effective VR environments for alleviating negative emotions in accordance with users’ preferences. In the Responsive Threshold project, I sought to increase social activity in traditional residential areas. Based on studies of people’s behaviors during rainy and sunny days, as well as at night, I designed a responsive installation that transformed entrance spaces. By integrating environmental sensors with Arduino, I created a convertible space that can generate 16 activity responses, encouraging diverse social interaction.

Content
Year
**Education**
Harvard University | Cambridge, MA
2024 - expected 2026
Technische Universität Berlin (Dual Degree) | Berlin, Germany
2020 - 2022
Tongji University | Shanghai, China
2019 - 2022
Tongji University | Shanghai, China
2014 - 2019
**Work and Design Experience**
Harvard University, Graduate School of Design | Cambridge, USA
2024
MIT, Tangible Media Group and ICE Lab | Cambridge, USA
2024
Shanghai Urban Planning & Design Research Institute Co. Ltd (SUPDRI) | Shanghai, China
2022 - 2024
T+ Lab | Shanghai, China
2023 - present
GMP Architekten | Berlin, Germany
2021
Computational Urban Design Lab | Shanghai, China
2020
Shanghai Millennium Urban Planning & Engineering Design Co. Ltd | Yunnan, China
2019
Kunming Municipal Planning Bureau | Yunnan, China
2018
**Exhibitions**
Shanghai–Beijing Urban Culture Comparative Media Exhibition | Shanghai, China
2022
Shanghai Fashion Week Exhibition | Shanghai, China
2020
**Honors and Awards**
Excellent Graduate of Tongji University Award | (awarded to top 10% of graduates)
2019
Highest Honor Prize | from Six Universities Co-Graduation Design Studio
2019
Scholarship of Shanghai City | (awarded to top 3% of students)
2017–2018
First Prize | Urban Traffic Innovation Practice Research Report
2017
Second Prize | Pocket Park Design Competition in Fengxian, Shanghai
2017
Tongji Scholarship of Excellence | (awarded to top 15% of graduates)
2014–2016
**Publications**
Exploring the Interaction Between Activities of Temporary Street Market 3.0 and Urban Public Space | Urban Planning Forum, vol. 3, 2023, pp:27–37. Author: Liu, Qingyun and Wang, Weiqiang
2023
Book Contribution: This is China: Hong Kong Painting Book | Beijing Science and Technology Press, 2020 (Lead illustrator of 3)
2020
Book Contribution: Body Performance, Living in the Matrix, Dwelling in the Nature | Tongji University Press, Author: Hu, Bin
2018
**Skills**
Design | Rhino, Grasshopper, Adobe Photoshop/Illustrator/InDesign/Premiere, TouchDesigner, ArcGIS, QGIS, Auto CAD, SketchUp, CityEngine, Geoda, Figma
Programming | C#, Python, Processing
Prototyping | Unity, Arduino, Kinect
Languages | Mandarin (native), English (professional), German (elementary)

CV

Education

Harvard University | Graduate School of Design, Master of Design Studies, Mediums Domain

Cambridge, MA | 2024 - expected 2026

Technische Universität Berlin (Dual Degree) | Institute for Architecture, Master of Science in Urban Design

Berlin, Germany | 2020 - 2022

Tongji University | College of Architecture and Urban Planning (CAUP), Master of Engineering

Shanghai, China | 2019 - 2022

Tongji University | College of Architecture and Urban Planning (CAUP), Bachelor of Engineering

Shanghai, China | 2014 - 2019

Work and Design Experience

Microsoft Research Asia | HAI/HCI Researcher Intern

Beijing China | 2025 - present

MIT Media Lab | Research Assistant

Cambridge, USA | 2025 - present

Harvard University, Graduate School of Design | Research Assistant

Cambridge, USA | 2024 - 2025

Shanghai Urban Planning & Design Research Institute Co. Ltd (SUPDRI) | Spatial Designer

Shanghai, China | 2022 - 2024

T+ Lab | Spatial Designer and Researcher

Shanghai, China | 2023

GMP Architekten | Architect

Berlin, Germany | 2021

Computational Urban Design Lab | Spatial Researcher

Shanghai, China | 2020

Shanghai Millennium Urban Planning & Engineering Design Co. Ltd | Spatial Designer

Yunnan, China | 2019

Kunming Municipal Planning Bureau | Project Management Assistant

Yunnan, China | 2018

Exhibitions

Shanghai-Beijing Urban Culture Comparative Media Exhibition

Shanghai, China | 2022

Shanghai Fashion Week Exhibition

Shanghai, China | 2020

Publications

Scholarly Publication: 
Liu, Qingyun, and Wang, Weiqiang. “Exploring the Interaction Between Activities of Temporary Street Market 3.0 and Urban Public Space: The Perspective of Informal Economy.” Urban Planning Forum, vol. 3, 2023, pp:27-37.

Book Contribution: 
College of Architecture and Urban Planning of Tongji University. This is China: Hong Kong Painting Book. Beijing Science and Technology Press, 2020. (Lead illustrator of three)
Hu, Bin. Body Performance, Living in the Matrix, Dwelling in the Nature. Tongji University Press, 2018.

Skills

Design: Rhino, Grasshopper, Adobe Photoshop/Illustrator/InDesign/Premiere, TouchDesigner, ArcGIS, QGIS, Auto CAD, SketchUp, CityEngine, Geoda, Figma

Programming: C#, Python, Machine Learning, Processing

Prototyping: Unity, Unreal Engine, Arduino, Raspberry Pi, Kinect

Languages: Mandarin (native), English (professional), German (elementary)

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