Research Background

I am well-versed in both quantitative and qualitative research methods and am constantly learning new research methods and data analysis techniques. My previous research examines the ways that we can use technology to better trans lives through providing greater access to lifesaving and gender-affirming care. My dissertation focuses on the trans community's use of technology to gain information and resources for gender transition and to track gender transition.

Research Trajectory

While I am no longer in academia at the moment, I am working with researchers at the University of Michigan to investigate ways to facilitate communication between gender-affirming surgeons and members of the trans community. Technology is evolving rapidly, and the sociopolitical climate for the trans community is quickly changing, and I strive to position myself and my work so that it is relevant to the new changes we are facing.

I am always looking for people to collaborate with. If any of my work thus far sounds interesting, please get in touch!

Publications

• Chuanromanee, T. & Metoyer, R. (2023). Understanding Gender Transition Tracking Habits and Technology. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
• Chuanromanee, T. & Metoyer, R. (2022). A Crowdsourced Exploration of the Effects of Visualization on Confirmation Bias in Decision-Making in Non-Experts. 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).
• Chuanromanee, T. & Metoyer, R. (2021). Transgender People’s Technology Needs to Support Health and Transition. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.
• Chuanromanee, T. & Metoyer, R. (2020). Evaluation and Comparison of Four Mobile Breathing Training Visualizations. 2020 International Conference on Healthcare Informatics. pp. 1-12. IEEE.
• Metoyer, R., Chuanromanee, T., Girgis, G. M., Zhi, Q., & Kinyon, E. (2020). Supporting Storytelling with Evidence in Holistic Review Processes: A Participatory Design Approach. Proceedings of the ACM on Human-Computer Interaction, 4(1).
• Chuanromanee, T. S., Cohen, J. I., & Ryan, G. L. (2019). Morphological Analysis of Size and Shape (MASS): An integrative software program for morphometric analyses of leaves. Applications in Plant Sciences, 7(9), e11288.

Past Projects

I've been involved in multiple computing projects outside of research.

Android app that helps trans people manage and track their mood and gender dysphoria. I designed and tested the prototypes using Figma and Maze, and developed the app using Java.

Undergraduate thesis project to assist mental health care providers by developing a neural network that predicts possible diagnoses of mental disorders. Developed using Theano running on top of Keras.

Campus-wide online forum for students to discuss issues of day-to-day life. Developed in conjunction with Cole Heathcock, Tyler Craig, George Reeves, and Andrew Cicchinelli as part of Web Software Tools term project using HTML/CSS, PHP, and MySQL.