Archive

Temitope Eyinla

Sep. 5, 2025

Temitope Eyinla

Temitope Eyinla is a PhD student in the MU Institute for Data Science and Informatics with an emphasis in health informatics. He plans to explore causal inference methods, particularly target trial emulation, and their applications to epidemiology and biomedical data, with a focus on chronic disease management and public health challenges such as cancer screening. Temitope holds a Bachelor’s in Mathematics from Adekunle Ajasin University, Nigeria, and an MSc. in Applied and Computational Mathematics and Statistics from the University of Notre Dame, USA. He brings over six years of experience in Data Analytics, with two years in the healthcare sector.

Samrat Dey

Sep. 5, 2025

Samrat Kumar Dey

I am a PhD student in Informatics specializing in Medical Informatics at the University of Missouri–Columbia, where I serve as a Graduate Research Assistant at the MU Institute for Data Science and Informatics in the Interdisciplinary Data Analytics and Search (iDAS) Lab. With more than nine years of teaching experience at the undergraduate level, I am currently on study leave from my role as Assistant Professor of Computer Science and Engineering. My research interests include Artificial Intelligence and Machine Learning for Healthcare, Agentic AI, Data Visualization, and Visual Reasoning, with a strong emphasis on disease predictive modeling, healthcare decision-making, and…

Jeong Wook Lee

Sep. 5, 2025

Jeong Wook Lee

I am interested in spatial analysis, particularly in how it can be applied to public health. My research goal is to explore the intersection between geospatial data and health outcomes, with a focus on understanding how physical and mental health issues are distributed across space.

Alina Rohulia

Sep. 5, 2025

Alina Rohulia

I am a PhD student in Bioinformatics with a Bachelor’s degree in Biomedical Engineering from the University of Missouri. My main scientific interest is autism spectrum disorder and I am studying how data science and artificial intelligence can be used to find reasons, trends, and outcomes in autistic population.

Nathan Bresette

Sep. 5, 2025

Nathan Bresette

Hello, my name is Nathan Bresette, and I began my PhD in Informatics in 2025, specializing in bioinformatics with a certificate in data science. My research focuses on utilizing Alzheimer’s multi-omics data to identify biomarkers that contribute to the disease and repurposing FDA-approved drugs to target these biomarkers, under the guidance of Dr. Ai-Ling Lin. I also do research with Dr. Changyu Sun to develop novel strategies for rapid MRI acquisition and accurate image reconstruction.

Joe Emanuel

June 18, 2025

Joe Emanuel

Joe Emanuel is a PhD Student in Informatics. His research interests include geospatial data privacy, differential privacy, and cybersecurity.

Zaynab Shakkour

June 18, 2025

Zaynab Shakkour

I am a PhD student in Bioinformatics with a Master’s degree in Neuroscience from the University of Missouri. My scientific interests center on leveraging cutting-edge tools in bioinformatics and AI to enhance personalized diagnoses and improve treatment strategies. My current research focuses on autism and rare diseases, combining neurogenomics and informatics to uncover genetic underpinnings that enable subgroup discovery and advance precision medicine through drug repurposing. I am excited to serve as Secretary of the Graduate Student Organization and look forward to helping build a more connected and supportive student community!

Mary Seifaddini

June 18, 2025

Maryam Seifaddini

I’m Maryam, a researcher focused on subgroup discovery and pattern mining in health data. My work centers on developing innovative, AI-driven methods to integrate and extract meaningful insights from diverse omics datasets.

Erfan Zareei

July 3, 2024

Erfan Zareei

Erfan Zareei is a PhD student at the University of Missouri, Columbia, where he is a member of Dr. Chi-Ren Shyu’s research team. He completed his Bachelor’s degree at the Sharif University in Iran and his Master’s at the University of Missouri, Columbia. In his current role, Erfan is engaged in research focusing on the application of LLM in Geospatial Informatics. His previous research includes studying virus spread in wetlands, analyzing fish behavior in stagnant water, quantifying microplastic pollution in aquatic ecosystems, and simulating particle cloud behavior in fluids with image processing and CFD simulation. With a passion for Data…