IPaT and GVU Invited Lecture: From personal informatics to personal analytics: using personal data to facilitate self-management of diabetes

IPaT and GVU are happy to host this lecture by our alum Lena Mamykina. After graduating with her HCC Ph.D. in 2009, Lena joined the faculty in the Columbia Medical School.

Date and Time: Thursday, March 8. 1:30pm

Location: GVU Cafe (2nd floor TSRB)


IPaT and GVU Invited Lecture:

From personal informatics to personal analytics: using personal data to facilitate self-management of diabetes  


Lena Mamykina

Department of Biomedical Informatics 

Columbia University



The increasing abundance of personal data related to health and wellness presents new opportunities for discovery and insight and can help individuals learn from their own experiences, as well as from experiences of others. These trends inspired active research in machine learning and data mining; they also present new opportunities for research in interactive systems. There remain many open questions as to how to design interactive solutions that leverage new streams of personal and social data and new data science capabilities to promote self-management of chronic diseases. In my research, I investigate these questions in the context of self-management of type 2 diabetes, and, specifically, nutrition management. In this talk I will discuss several ongoing research initiatives that strive to help individuals make informed choices by reflecting on the past, anticipating the future, and learning from others.  



I am an Assistant Professor of Biomedical Informatics in the Department of Biomedical Informatics at Columbia University. My primary research interests reside in the areas of Biomedical Informatics, Human-Computer Interaction, Ubiquitous and Pervasive Computing, and Computer-Supported Collaborative Work.

My broad research interests include individual and collective cognition, sensemaking and problem-solving in the context of health, health care, and health management. My research group, Action Research for Collective Health (ARCH) views health and health management as residing within families, communities, and societies, and as impacted by culture, business, and policy. In ARCH, we develop novel technologies that help individuals to take a proactive stance towards their own health and to change their environment to make healthy and responsible lifestyle accessible to everyone.

At the same time, I am interested in the functioning of the healthcare system and in the ways it adapts to the changing demands and expectations of the society. I study how clinicians collect and use information to make decisions in regards to patient care, how clinicians on patient care teams communicate and coordinate their work and make decisions together, how clinical communities share knowledge and expertise, and how computing technologies facilitate or inhibit these processes.

I received my B.S. in Computer Science from the Ukrainian State University of Maritime Technology, M.S. in Human Computer Interaction from the Georgia Institute of Technology, Ph.D. in Human-Centered Computing from the Georgia Institute of Technology, and M.A. in Biomedical Informatics from Columbia University. My dissertation work at Georgia Tech focused on facilitating reflection and learning in context of diabetes management with mobile and ubiquitous computing. Prior to joining DBMI as a faculty member, I completed a National Library of Medicine Post-Doctoral Fellowship at the department.

Event Details


  • Thursday, March 8, 2018 1:30 pm - 2:30 pm
Location: GVU Cafe (2nd floor TSRB)