EMRLab welcomes Mustafa Farahat!

We’re thrilled to welcome Mustafa Farahat to our team! Mustafa has just finished his first year in the Chemical & Biomolecular Engineering PhD Program at UT-Knoxville. Building on his undergraduate training and research experience in Chemical and Biomedical Engineering at Iowa State University, he will be developing quantitative systems pharmacology models in support of our drug discovery interests.

Hiring for postdoctoral roles at ORNL

Come join our team and contribute to the ATOM consortium as a computational systems biology postdoc at Oak Ridge National Laboratory!

“Purpose: The Biosciences Division of Oak Ridge National Laboratory invites qualified persons to apply for the position of Postdoctoral Research Associate in the area of computational systems physiology and molecular design.

Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of experimental biologists, computer scientists, engineers, and mathematicians for a project encompassing multiscale modeling, high performance computing, machine learning, and artificial intelligence in support of molecular design. The skill set of a qualified applicant will be utilized to develop mechanistic systems models for integration with the Accelerating Therapeutics for Opportunities in Medicine (ATOM) platform for drug discovery and in support of the Laboratory’s missions.”

Dr Charlie Hodgens joins the lab

The EMRLab is very excited to welcome new member Dr Charles Hodgens.  Dr Hodgens is joining the NSF-funded collaboration with our plant biology colleagues in Dr Marcela Rojas-Pierce’s lab at NC State University.  Charlie is a talented, discipline-crossing biologist who will be responsible for the computational aspects of this research effort.  He holds a PhD in Genetics and Molecular Biology with a Certificate in Bioinformatics and Computational Biology from UNC-Chapel Hill. Check out the latest publication from his thesis work in the Kieber Lab: Mutagenomics: A rapid, high-throughput method to identify causative mutations from a genetic screen .  Welcome Charlie!!!