Archive

Nov. 18, 2024

Chau Tong

My current research in computational health communication involves applying natural language processing and other computational methods to analyze the vicissitudes of user-generated health content and the diffusion of such content on social media. I direct the Computational Communication and Technology lab at Mizzou; our research team includes undergraduate RAs, graduate RAs, and PhD students. The lab is an interdisciplinary hub for the organization, curation, and processing of digital trace and social media data. Together, we develop and implement rigorous research to produce insights into the digital landscape of health content and estimated impact of such communication flows across news, search…

June 26, 2024

John Robert Bautista

Dr. John Robert Bautista uses a socio-technical strategy to understand the role and impact of technologies (smartphones, social media, blockchain, and artificial intelligence) among health professionals and consumers. As an interdisciplinary researcher, he utilizes concepts from communication, information, psychological, and organizational sciences to understand the use of health information technology based on qualitative and quantitative data. His current research focuses on designing, developing, and deploying AI in health that is effective, efficient, and ethical. His articles appear in Computers in Human Behavior, International Journal of Medical Informatics, JAMIA, New Media & Society, JMIR Public Health and Surveillance and Telematics &…

May 10, 2024

Timoteo Kelly

Timoteo Kelly is a National Science Foundation CyberCorps Scholar currently affiliated with the Mizzou Scalable Data Science Lab, where he has been contributing to research in data security and the Internet of Medical Things. Prior to this, he conducted research in mobile health and data science at Nova Southeastern University’s Department of Decision Sciences where he obtained a master’s degree in health informatics. Timoteo is currently pursuing a Ph.D. in Informatics with an emphasis in the Internet of Medical Things and data security at the University of Missouri-Columbia. 

Feb. 13, 2024

Mai-Lan Ho

Mai-Lan Ho, MD, is an accomplished neuroradiology physician-scientist and leader specializing in the full scope of advanced imaging. Dr. Ho has clinical expertise in advanced neuroimaging techniques and genotype-phenotype correlation in complex diseases. Her research focus involves radiologic technology development, quantitative image analysis and imaging genomics. Dr. Ho also leads multiple national and international initiatives for data science and precision health and serves on national/international society committees and editorial boards dedicated to advanced imaging and AI. Dr. Ho’s research program involves the three key focus areas of translational advanced imaging, imaging genomics and artificial intelligence, improving imaging technology, implementation and…

Dec. 14, 2023

Amir Habibdoust Lafmajani

I’m Amir, a PhD student in Health Informatics, and I have a background in econometrics. I love digging into the world of causality and counterfactual world. What really sparks my interest is exploring what could have happened – the “what-if” scenarios. Originally coming from econometrics, I found my way into health data science, and it feels like I’ve found my sweet spot. My research focus in combining causal inference and machine learning, with a special focus on understanding the ‘what if’ situations in health science, clinical trial, and cost-effectiveness of intervention. As I work through my PhD, I’m…

Dec. 13, 2023

Philip Amewudah

While unstructured text data seems to be challenging to analyze, they have shown to be very rich sources of clinical health information. My research area focuses on using free text data from text messages to learn domain ontology for the standardization of Nursing home care under the 4Ms (what Matters, Mentation, Medication, Mobility) framework, using pre-trained word/sentence embeddings.

Dec. 11, 2023

Kun-Yi Chen

Hello, I’m Kun-Yi from Taiwan. I’m interested in developing an artificial scientist system capable of autonomously generating innovative hypotheses, critiquing scientific literature, suggesting and executing novel experiments. I believe such a system has the potential to significantly accelerate scientific discovery and revolutionize the methodology of scientific inquiry.

Nov. 29, 2023

Knoo Lee

Knoo Lee began his scholastic focus in the field of engineering, but after two years of study, he went into the Korean Navy. Once there, he was influenced by his experiences to go into nursing. After getting his nursing education, he realized the potential behind bridging the technology and health care worlds. “I became interested in utilizing informatics to expand the boundary of human knowledge,” explains Lee. This focus used data driven methodologies and big data analytics to pair his engineering background and his nursing background into one. After completing three years of research at the University of Minnesota, he…

Nov. 29, 2023

Sean Lane

Research Interests My research focuses on emotion regulation processes, their downstream effects on health and relationship outcomes, and how these processes differ between representative and clinical subgroups. I apply and develop statistical methodologies, with a focus on nonlinear models and dynamic systems in characterizing these processes. I have also applied these methods in more substantive research, including the optimization of alcohol use disorder classification and the role of alcohol use as an antecedent, consequent, and modifier of emotion regulation processes.