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.

Nov. 29, 2023

Gillian Bartlett

Nov. 28, 2023

Deshan Wattegama

Deshan Wattegama is a Ph.D. student in the IDAS lab following a health informatics Ph.D. program. He worked as a senior software engineer for over 4 years and has domain knowledge in supply chain management, stock brokering, etc. He is interested in the usage of blockchain and AI in healthcare systems and using VR, and AR technologies to improve the quality of healthcare systems.

Nov. 28, 2023

Md Kamruz Zaman Rana

Md Kamruz Zaman Rana, a Biomedical Informatics Software Engineer at the University of Missouri, is concurrently advancing his studies with a doctoral degree in Health Informatics at the MU Institute for Data Science and Informatics. Prior to his current role, Rana accrued significant experience as a graduate research assistant over a period of 3.5 years. Additionally, he holds a Master of Science in Medical Informatics and a Bachelor of Science in Computer Science and Engineering. Rana boasts an impressive professional background, with 3 years in web and mobile application development, later progressing to become the lead Android developer at Rankmylist…

Nov. 28, 2023

Polycarp Nalela

I have a Bachelors degree in Science Technology, Masters degree in Biotechnology, and currently pursing a PhD in Informatics. I have worked with data especially analytics for over 10 years. Initially, I started with R analyzing data from breeding trials such as genotype by environment (G&E); genome wide association studies (GWAS); and population genomics. As I advanced my analysis of big and complex data and taking advanced courses in statistics, genomics, databases, machine learning, data mining, and cloud computing, I found myself learning other programing languages (Python, SQL, Bash, C++, and JS) that I now apply in routine workflows. I…