Nov. 27, 2023
Yibo Chen
Second year PhD student.
Feb. 15, 2022
Teng Lim
Research focus: On-Farm Manure Management and Nutrient Recycling, Analysis of Missouri Soil Health and Manure Application, and Practical Biosecurity
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…
July 29, 2021
Wes Warren
Warren spent his first career years at Monsanto and then felt the need to return to Academia. At Monsanto most of his research was in molecular biology. He also continues to collaborate with the St. Louis Zoo on the unknown causes of high incidences of pyometra urinary in African Painted Dogs. Warren has published over 130 research articles. The number will only grow as he continues and begins his many collaborative research projects and new research at Bond LSC
Oct. 21, 2020
Caleb Grohmann
I grew up on a pig farm in southern Illinois, where we used data to inform breeding decisions. That inspired me to get a B.S. and M.S. in Animal Sciences. Now, I use sensor data to inform farm mangers when mortality episodes will occur, then, they can make better decisions on when to intervene with additional antibiotics.
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.
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.
Oct. 23, 2018
R. Keith Slotkin
The Slotkin laboratory uses Arabidopsis thaliana, a reference flowering plant, as a model to investigate how eukaryotic cells repress transposable elements. Transposable elements are fragments of DNA that can duplicate or move from one location to another. Their ability to replicate has resulted in transposable elements occupying vast amounts of most eukaryotic genomes, including nearly half of the human genome. Although often overlooked or dismissed as “junk DNA”, transposable elements have played an important role in the structure and evolution of the eukaryotic genome. However, when transposable elements are active, they cause DNA damage and new mutations by inserting into…
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.