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

Abdul Ghani

Abdul Ghani, a PHD Researcher at the University of Missouri-Columbia specializing in Genome Data Analysis and Data Processing, is an accomplished professional with a stellar academic record. In the Digital Biology Lab, Abdul contributes to pipeline development for genome datasets and backend solutions for informatics-related data products. With a background in Computer Science and Electrical Engineering, Abdul has over six years of experience as a Software Engineer, particularly excelling in data product development. Notably, Abdul earned the distinction of being a Gold Medalist in their Master of Science (MS-CS) program and graduated Cum Laude with a Bachelor of Science (BS-EE)…

Dec. 11, 2023

Sania Awan

Hey there, I’m Sania, your friendly neighborhood tech enthusiast with five years of experience, ready to dive into the exciting world where computers meet biology! Having spent the last half-decade navigating the data realm, I’ve decided it’s time for a new adventure – a Ph.D. in Bioinformatics. Buckle up, because it’s not just a switch in gears; it’s my commitment to infusing some coding magic into the scientific groove. With a background in Deep Learning, Big Data optimization, and Scalable Data Architectures, I bring a wealth of experience to the table. Beyond the corporate hustle, I’m on a mission…

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…