Archive

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.

Oct. 17, 2018

Iuliia (Yilia) Innokenteva

Yulia is a fifth-year PhD student in bioinformatics at the University of Missouri, Columbia. With a strong background in health informatics and a Master of Public Health degree from MU, Yulia brings a unique interdisciplinary perspective to her research. Her primary focus as a PhD student lies in developing efficient pipelines for single-cell RNA-seq data interpretation, a critical area in the field of bioinformatics. Additionally, Yulia utilizes her expertise in machine learning to tackle the complex task of tumor microenvironment deconvolution, contributing to advancements in cancer research.

Sep. 10, 2018

Nishant Jain

My current research focus is in the field of Consumer Health Informatics and Information & Communication Technologies (ICT). My work revolves around leveraging social media analytics, social network analysis, and innovative informatics approaches to gain insights into chronic diseases (e.g., diabetes, mental health, and cancer), COVID-19, population health, and other pertinent health issues. In addition, I am enthusiastic about exploring the potential of machine learning and generative Artificial Intelligence (AI) techniques to further enhance our understanding and knowledge in these critical areas.

Aug. 30, 2018

Justin Hummel

Justin is a graduate student at the University of Missouri Institute for Data Science and Informatics (MUIDSI) under the guidance of Rene Cortese, PhD. Justin has learned critical informatics techniques to expand his training in cancer biology.  His primary research objectives pertain to the mechanisms involving cancer pathologies, improvements in the standard-of-care (SOC) for patients receiving chemotherapy treatment(s), and obstructive sleep apnea (OSA).  Here at Mizzou, Justin continues his research efforts from Eastern Virginia Medical School and UConn, utilizing data analytics and computational modeling to strengthen his laboratory training.

Aug. 30, 2018

William Baskett

I am a PhD student studying bioinformatics. I received my bachelor’s degree in biology from the University of Missouri in 2018 and my masters in data science in 2021. My research focuses on developing algorithms to extract information from biomedical data.