Oct. 24, 2023

Sonia Akter

Sonia is currently pursuing her doctoral research in Health Informatics. Her research interests focus on artificial intelligence (AI), machine learning (ML), deep learning (DL), large language models (LLM), and analyzing various types of healthcare-related data, including electronic health records (EHR), cognitive data, and sensor data, to predict clinical outcomes. Sonia earned her BS in Forestry from the Institute of Forestry and Environmental Sciences at Chittagong University (CU) in Bangladesh. She then received a European Union (Erasmus Mundus) Scholarship to pursue her MS in European Forestry, which provided her the unique opportunity to immerse herself in diverse academic environments across several…

Oct. 24, 2023

Trevor Mandy

As a Columbia Native I’ve been lucky enough to call Mizzou my home for 26 years! Coming from a background in healthcare management and finance, my focus area is health and biomedical informatics. My research interests include the application of AI models to large-scale EHR data to predict clinical outcomes and derive the cost-effectiveness of clinical practices. Currently, I am researching the effectiveness of Ivacaftor and the rest of the -caftor family of medications in their ability to moderate weight gain/loss in patients with Cystic Fibrosis, as compared to traditional interventions such as high-fat diets and therapeutic interventions. Towards the…

Sep. 6, 2023

Nader Abdalnabi

“My aspiration is to be a leader who values the individuality of each person and fosters a collaborative work environment characterized by effective communication and mutual respect in a thriving learning atmosphere.” Nader Abdalnabi is a passionate analytical researcher and informatician specializing in healthcare, management, and business informatics. Currently pursuing a PhD in health informatics at the University of Missouri, he holds a master’s degree in business and marketing analytics and a bachelor’s degree in industrial engineering. According to him, true leaders possess the ability to influence and empower others. In his leisure time, Abdalnabi finds joy in participating in…

Jan. 28, 2022

Yen On Chan

Chan is a Bioinformatics PhD student at the University of Missouri, working under the guidance of Dr. Trupti Joshi. Throughout his academic journey, Chan has acquired expertise in various programming languages and Bioinformatics tools, enabling him to develop tools and pipelines for data analysis. His contributions include the design and development of the Allele Catalog Tool and Genomic Variations Explorer. The Allele Catalog Tool focuses on visualizations of alleles in genes and phenotype data for uncovering potential causative mutations in organisms, and the Genomic Variation Explorer provides capabilities to annotates promoters and copy number variations in multiple organisms. Chan’s expertise…

Sep. 29, 2020

Li Su

A former plant science student, a biomedical researcher, now a informatics student aiming to solve immunology problem using machine learning techniques. My short term goal is to graduate and also be a good reliable friend of my kid.

Sep. 23, 2020

Justin Krohn

Justin Krohn is a Senior Research Project Analyst at the University of Missouri Center for Applied Research and Engagement Systems (CARES) and a PhD student in Geoinformatics. After finishing his undergraduate degree in Natural Resource Sciences at Washington State University, Justin spent 27 months as a Peace Corps Volunteer in Malawi, serving as an environmental volunteer. He then went on and earned his Master’s degree in Geography from Western Illinois University as well as a post-Baccalaureate certificate in Community and Economic Development as a Coverdell Fellow. Justin has work experience in Natural Resource Management, Conservation, Organic Farming, Beekeeping, Community and…

Aug. 31, 2020

Solaiman Khan

Oct. 30, 2019

Skyler Kramer

My undergraduate background consisted of research in enzyme kinetics and biologically driven machine learning. These research experiences led me to MUIDSI, where I began my formal training in bioinformatics. I have contributed to many projects since joining MUIDSI, including bulk / single-cell transcriptomics, proteomics, image processing, software engineering, and deep learning. My current research is on the application of large language models to RNA engineering.

April 5, 2019

Murugesan Raju

My name is Murugesan, and my research focuses on biomedical and ocular informatics. My primary research interests revolve around the early prediction of disease onset and developing a drug recommendation system using DL and LSTM models. To facilitate translational research, I am interested in developing novel methods and pipelines to integrate and extract meaningful data-driven knowledge from various omics data, such as clinical data, genomics, proteomics, and metabolomics.