
July 8, 2024
Sultana Akter
I am Sultana Akter from Bangladesh, currently a Ph.D. student in Bioinformatics at the University of Missouri (Mizzou), which I began in the summer of 2024. I hold a master’s degree in Statistics from Western Michigan University and a bachelor’s degree in Statistics from the University of Dhaka, Bangladesh. My academic journey has been driven by a strong interest in statistics, data science, and information technology, all of which are seamlessly integrated into my current Ph.D. program. My research focuses on applying statistical tools across various biological disciplines. I am passionate about mentoring and sharing my knowledge, and I thrive…

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…

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.

Jan. 3, 2024
Jinpu Li

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. 30, 2023
Mitchell Pillarick III
First and foremost, Mitch Pillarick is a loving husband to his wife Vanessa, and a caring father to his three children. Mitch is an Eagle Scout with the Vigil Honor. He was commissioned as a US Army Officer in 2008 where he continues his service in the Reserves. Since 2010, Mitch has worked in the fields of Geospatial Analysis, Imagery Analysis, Web Development, Systems Engineering, Data Science, and Data Engineering. The focus of his research is operationalizing and optimizing computer vision workflows against remote sensing satellite imagery leveraging a novel Machine Learning Operations platform.

Nov. 28, 2023
Mary York
Hi all, I’m Mary. I’m from Lonedell, a small rural town in eastern Missouri. I went into my undergraduate degree with a passion for biology and helping others. Towards the end of my degree I realized how important and abundant data is in modern biological research. So, I decided to go into a computationally heavy M.S. degree with no computational background, and it stuck! My master’s thesis was aimed at improving the classification of Alzheimers disease status from MRS derived data by using Bayesian networks to simulate new observations. I made connections in the Bioinformatics and Analytics Core throughout my…