Dr. Kay Connelly is an Associate Professor in the Computer Science Department at Indiana University. She is a codirector of CLEAR Health Information, and the Senior Associate Director of IU’s Center for Applied Cybersecurity Research, a part of the Pervasive Technology Institute. She is an active faculty advisor to WIC@IU. Dr. Connelly was on the Program Committee of the International Health Informatics Conference in 2010, and on the Program Committee of Pervasive Healthcare in 2011. She received a 2006-2007 Outstanding Junior Faculty Award and the Trustees Teaching Award from Indiana University. Her research focuses on user acceptance of ubiquitous and mobile computing technologies where there is a delicate balance between such factors as convenience, control and privacy. Dr. Connelly’s most recent work emphasizes health and wellness applications to empower both the ill and the healthy to manage and improve their own health and make healthy choices. She has a B.S and B.A. from Indiana University and a M.S. and Ph.D. from the University of Illinois.
Katie Siek is an associate professor in Informatics at Indiana University Bloomington. Her primary research interests are in human computer interaction, health informatics, and ubiquitous computing. More specifically, she is interested in how sociotechnical interventions affect personal health and well being. Her research is supported by the National Institutes of Health, the Robert Wood Johnson Foundation, and the National Science Foundation including a five-year NSF CAREER award. She has been awarded a CRA-W Borg Early Career Award and a Scottish Informatics and Computer Science Alliance Distinguished Visiting Fellowship. Prior to returning to her alma mater, she was a professor for 7 years at the University of Colorado Boulder. She earned her PhD and MS at Indiana University Bloomington in computer science and her BS in computer science at Eckerd College. She was a National Physical Science Consortium Fellow at Indiana University and a Ford Apprentice Scholar at Eckerd College.
My research interests lie in the fields of Artificial Intelligence and Machine Learning and their application to healthcare problems. More specifically, I am interested in the areas of Relational Learning, Reinforcement Learning, Graphical Models, and Planning. Please read more about our projects and team on our team webpage. Till 2013, I was a faculty member at Translational Science Institute of Wake Forest School of Medicine. I was a Post-Doc earlier at the Department of Computer Science in the University of Wisconsin Madison, working with Professors Jude Shavlik and David Page. I completed my PhD in fall 2007 under Professor Prasad Tadepalli in the School of EECS at Oregon State University.
I’m an Assistant Professor of Informatics in the School of Informatics and Computing at Indiana University Bloomington. I am a Fellow of the Center for Computer-Mediated Communication (CCMC). I am also an affiliated faculty at the Center for the Integrative Study of Animal Behavior (CISAB), the Indiana University Network Science Institute (IUNI), and the Institute for Software Research (ISR) at the University of California, Irvine.
I am interested in utilizing mixed methods approaches to tackle research problems in online and geographic communities. Specifically, my current research focuses on leveraging awareness of individual and community activities embedded in sensor technologies, smart devices, social media, and online forums in the design and construction of novel persuasive interfaces and civic engagement platforms that facilitate sustainable motivational and behavioral changes.
I design and evaluate novel mobile health technologies that improve communication and collaboration with the goal of increasing patient engagement with their health and encouraging everyday wellness.
I received my PhD in Human-Centered Computing from Georgia Tech in 2012, where I was focused on improving mobile and wearable input and interaction under the guidance of Thad Starner in the Contextual Computing Group. After receiving my PhD, I worked with Elizabeth Mynatt and a host of wonderful students in the Everyday Computing Lab at Georgia Tech.
Leslie S. Liu
I am a postdoctoral fellow in the School of Informatics and Computing at Indiana University Bloomington. I work with Katie Siek in the ProHealth Group. Very broadly, my research interests are in humancomputer interaction (HCI), computer supported cooperative work (CSCW), and health informatics.
Haley is a PhD student in the Health Informatics program, working with Dr. Connelly and Dr. Siek. Her research is on the potential role of technology in the lives of people with rare diseases. She has an MS in Human Computer Interaction (Health Emphasis) from IU, and BComm with a minor in Computer Science from the University of Calgary in Alberta.
Annu is a PhD student in Informatics. She is currently working with Dr. Katie Siek. Her research focuses on designing socio-technical systems for maternal wellness. Currently her work focuses on using multiple research methods to understand social support needs of new mothers. This work will inform the design of socio-technical systems to facilitate social support for new mothers. She has an MS in Computer Science from Mississippi State University and a B.Tech in Electrical and Electronics Engineering from University of Kerala, India.
Tom is currently pursuing a PhD in Health Informatics. His research is on the design and implementation of pervasive technologies for self-acceptance, patient compliance, and compassionate care. He is passionate about actionable and user-centered polywearable techniques to effectively support patients with discordant chronic comorbidities manage their conditions. Tom holds a Bachelor’s degree in information technology from St Lawrence University (Uganda), a Honor’s degree in software engineering from Polytechnic of Namibia (Namibia) and a Master’s degree in Computer Science from Namibia University of Science and Technology (Namibia).
Majdah is a PhD student in the Health Informatics program at Indiana University Bloomington. Her research focuses on health informatics and assistive technologies. More specifically, she is interested in detecting human emotional states and exploring the potential of technology that performs interpreting of emotional states. She has a BSc. of Computer Applications and a MSc. of Information Systems from King Saud University.
Ben is a PhD student in Health Informatics at Indiana University. He is working with Drs. Katie Siek and Kay Connelly on empowering older adults to monitor their health via the maker movement. He is particularly interested in working with groups who are already creating, such as knitting or woodworking communities. He earned his Bachelor’s degree in Biomedical Engineering from Ohio State University.
Anna is a first year PhD student in Proactive Health Informatics at Indiana University. She is currently working on several research projects related to health and music, and hopes to find ways to incorporate technology into music therapy for more personalized healthcare. Anna earned her Bachelor’s degree in Computer Science and Engineering from the Ohio State University.
Shuo is a PhD student in Health Informatics program, working with Prof. Natarajan. Her research focus on machine learning and its application in medical domains, including knowledge-intensive learning for high dimensional sparse data, class-imbalanced data and sequential event prediction for structured sequence data. She has one MS in Biomedical Engineering (research on machine learning) from Wake Forest School of Medicine in North Carolina and one MS in Biomedical Engineering (research on medical signal processing) from Tianjin University in China.
Devendra Singh Dhami
Devendra is a PhD student at Indiana University Bloomington. He completed my Master’s from Indiana University Bloomington in Fall 2015. His research interests are mainly in the field of Machine Learning and more specifically in solving real world problems through the use of machine learning. My current research is focused on ‘Morphological Classification of galaxies’ and ‘Prediction of Alzheimer’s disease using MRI images’.
Navdeep Kaur is a PhD student in Computer Science program, working with Prof. Natarajan. Her research interest focuses on Machine Learning. Her current research work includes how can we incorporate Deep Learning in Relational domains so that both the communities can benefit from each other and also on applying regression models to predict the price in logistic domains.
Phillip is a PhD student at Indiana University, working with Prof. Natarajan. His research is focused on advice-based machine learning methods that can effectively incorporate human experts into the learning process. Applications include various medical diagnosis problems where the doctor is the expert, information extraction from text and policy learning.
Associate Professor, Department of Computer Science
Raquel Hill is an Associate Professor of Computer Science in the School of Informatics and Computing. Her primary research interests are in the areas of trust and security of distributed computing environments and data privacy with a specific interest in privacy protection mechanisms for medical-related social science datasets. Dr. Hill’s research is funded by various sources, including the National Science Foundation. She holds B.S. and M.S. degrees in Computer Science from the Georgia Institute of Technology and a Ph.D. in Computer Science from Harvard University. Prior to joining the School of Informatics and Computing, Dr. Hill was a Post Doctoral Research Associate at the University of Illinois Urbana- Champaign, with a joint appointment with the Department of Computer Science and the National Center for Super Computing Applications (NCSA).
Assistant Professor, Department of Informatics
Allison Fish is an Assistant Professor of Informatics in the School of Informatics and Computing. Her primary research interests are in the area of information law and policy. She received her Ph.D. in Anthropology at University of California, Irvine in 2010.
- Danish U. Khan, Ph.D. (2013 – Informatica)
- Kimberly Oakes, M.S. (2015 – XOEye)
- Allison Brown (Ph.D. Student)
- Halley Profita (Ph.D. Student)
- Gerald Pulver (Ph.D. Student)
- Tuong An (Amy) Le (B.S. 2014)
- Noelle Beaujon (B.S. Student)
- Mackenzie Miller (B.S. Student)
- Maryam Gooyabadi (B.S., 2010)
- Alice Chien (B.S. 2015 – Deloitte Digital)
- Miranda Sheh (B.S. 2015 – Ambi Labs)
- Nate Lapinski (B.S. 2014 – SpotXchange)
- Sara Zhang (IU B.S. Student)
- Erin Leonhard (IU B.S. Student)