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

Ram Raghavan

I am broadly interested in spatially-enabled computational epidemiology of vector-borne and infectious diseases and applications of geospatial approaches for enhancing animal/public health. I extensively use Geographic Information System (GIS) and remote-sensing concepts in my research alongside geo-statistical, correlative modeling, and Bayesian approaches for understanding spatio-temporal dynamics of non-stationary epidemiological processes. Our current and prior research has identified important spatio-temporal patterns and spatial determinants for vector/water-borne zoonotic diseases from climatic, environmental, and socio-economic themes. Increasingly, my research strives to identify consistencies in complex meteorological variable associations with vector-borne diseases through the utilization of high-resolution ground-based and NASA Earth Observing System (EOS)…

Dec. 16, 2020

Rene Cortese

Rene Cortese, PhD, studies epigenetics of complex diseases to detect and understand how complex diseases develop, progress, are inherited, and can be treated. His main research interests are: i) Multiomics studies on phenotype modulation in Children’s and Women’s Health, ii) Epigenetics mechanisms involved in the Developmental Origin of Diseases, iii) Epigenomics of Sleep Disorders, and iv) Epigenomics profiling in circulating DNA in bodily fluids. Dr. Cortese received his MSc in Biological Sciences from the University of Buenos Aires, in Buenos Aires, Argentina and earned his PhD at the University of Bonn, in Bonn, Germany. He did his Post-doctoral Fellowship in…

Nov. 3, 2020

Lemuel Russell Waitman

Dr. Waitman is a national leader in medical informatics and is well known around the country as an informatics researcher at the top of his field. We hope this is the first of a number of systemwide recruits that will further our mission to provide leading-edge research and world-class health care to Missourians.

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.

Oct. 17, 2018

Iuliia (Yulia) 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.

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.

March 2, 2017

Abu Mosa

Dr. Mosa, a visionary in the domain of biomedical informatics, is at the forefront of integrating data-driven artificial intelligence with healthcare innovations. With over a decade of experience, he has pioneered efforts in advancing the use of real-world observational data and enhancing informatics infrastructure for research at a national scale. His expertise is backed by a BS and MS in Computer Science and a PhD in Biomedical Informatics. As the Senior Director and an Associate Professor of Biomedical Informatics, Dr. Mosa bridges his expertise across computational and health sciences. Recognized for his contributions, he was inducted as a Fellow of…

Dec. 28, 2016

Timothy Green

Dr. Green is an instructor responsible for the development and teaching of an online health data science and predictive analytics course, covering health ethics and regulations, and basic and advanced statistical methods for health data analysis.at MU Institute for Data Science and Informatics. He is also the Chief Data Scientist at EquipmentShare.com responsible for the development of a data science, predictive analytics, and business intelligence program for the leading heavy equipment industry telematics platform.