Caring through Data: Attending to the Social and Emotional Experiences of Health Datafication. - Elizabeth Kaziunas; Mark S. Ackerman; Silvia Lindtner; Joyce M. Lee (CSCW, 2017)

Understanding Individual and Collaborative Problem-Solving with Patient-Generated Data: Challenges and Opportunities. - Shriti Raj; Mark W. Newman; Joyce M. Lee; Mark S. Ackerman (Proc. ACM Hum. Comput. Interact., 2017)

Lived Data: Tinkering With Bodies, Code, and Care Work. - Elizabeth Kaziunas; Silvia Lindtner; Mark S. Ackerman; Joyce M. Lee (Hum. Comput. Interact., 2018)

Sharing and helping: predictors of adolescents' willingness to share diabetes personal health information with peers. - Sarah E. Vaala; Joyce M. Lee; Korey K. Hood; Shelagh A. Mulvaney (J. Am. Medical Informatics Assoc., 2018)

"My blood sugar is higher on the weekends": Finding a Role for Context and Context-Awareness in the Design of Health Self-Management Technology. - Shriti Raj; Kelsey Toporski; Ashley Garrity; Joyce M. Lee; Mark W. Newman (CHI, 2019)

Clinical Data in Context: Towards Sensemaking Tools for Interpreting Personal Health Data. - Shriti Raj; Joyce M. Lee; Ashley Garrity; Mark W. Newman (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Deep Reinforcement Learning for Closed-Loop Blood Glucose Control. - Ian Fox; Joyce M. Lee; Rodica Pop-Busui; Jenna Wiens (MLHC, 2020)

Transitioning Toward Independence: Enhancing Collaborative Self-Management of Children with Type 1 Diabetes. - Yoon Jeong Cha; Arpita Saxena; Alice Wou; Joyce M. Lee; Mark W. Newman; Sun Young Park (CHI, 2022)

Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose. - Harry Rubin-Falcone; Joyce M. Lee; Jenna Wiens (AAAI, 2023)

It's Like an Educated Guessing Game: Parents' Strategies for Collaborative Diabetes Management with Their Children. - Yoon Jeong Cha; Alice Wou; Arpita Saxena; Joyce M. Lee; Mark W. Newman; Sun Young Park (CHI, 2023)

"It can bring you in the right direction": Episode-Driven Data Narratives to Help Patients Navigate Multidimensional Diabetes Data to Make Care Decisions. - Shriti Raj; Toshi Gupta; Joyce M. Lee; Matthew Kay 001; Mark W. Newman (CHI, 2023)

Denoising Autoencoders for Learning from Noisy Patient-Reported Data. - Harry Rubin-Falcone; Joyce M. Lee; Jenna Wiens (CHIL, 2023)

Shared Responsibility in Collaborative Tracking for Children with Type 1 Diabetes and their Parents. - Yoon Jeong Cha; Yasemin Gunal; Alice Wou; Joyce M. Lee; Mark W. Newman; Sun Young Park (CHI, 2024)

Learning control-ready forecasters for Blood Glucose Management. - Harry Rubin-Falcone; Joyce M. Lee; Jenna Wiens (Comput. Biol. Medicine, 2024)

Augmenting clinicians' analytical workflow through task-based integration of data visualizations and algorithmic insights: a user-centered design study. - Till Scholich; Shriti Raj; Joyce M. Lee; Mark W. Newman (J. Am. Medical Informatics Assoc., 2024)

Shortcomings in the Evaluation of Blood Glucose Forecasting. - Jung Min Lee; Rodica Pop-Busui; Joyce M. Lee; Jesper Fleischer; Jenna Wiens (IEEE Trans. Biomed. Eng., 2024)