Dr. Jeffrey Robinson
Non-Tenure Track
Universities at Shady Grove
About
Robinson is a UMBC alumni, then worked at TIGR/JCVI for 8 years as Research Associate. He then attended Dartmouth College for his PhD in Biological Sciences from the Molecular and Cellular Biology program. He performed his postdoctoral research at NIH, studying RNA-expression and spatial transcriptomics in digestive disease model system. Most recently, Robinson has developed the curriculum of the Translational Life Science Technology (TLST) Bioinformatics Track, where he teaches upper level courses in bioinformatics, biostatistics, machine learning, and flow cytometry.
Research interests
Computational Genomics, Extremophiles, Evolutionary Biology
Teaching interests
Genomics, Bioinformatics, Evolutionary Biology, Machine Learning, Experiential Education
Education
-
Ph D, Biological Sciences
— Dartmouth College (2014) microRNA in Porifera: Evolution of a Molecular Mechanism in Sponges
- MS, Biotechnology — Johns Hopkins University (2008)
- BS, Biological Sciences — UMBC (1999)
Publications
- VCFgenerator 2024
- OmicsVMconfigure 2023
Presentations
- Register with GIGA-NCBI BioProject and utilize the GIGAGoaT Resources. 2023
Grants and Contracts
- BIO220099: Automated computational workflow for genomewide variation analysis focusing on extremophile adaptations of Halophilic Archaea. 2024
- BIO220099: Computational workflows for analysis of microbial halophile genomes and microbiomes. 2024
- MCB200044: Bioinformatics Training for Applications in Translational and Molecular Biosciences 2023
- MCB200044: Bioinformatics Training for Applications in Translational and Molecular Biosciences 2023
Research in Progress
- Modelling miRNA-mRNA regulatory networks using a Graph Convolutional Neural Network (GCN) Framework 2015
Courses Taught
- Machine Learning Applications for Translational Bioinformatics
- Statistics for Translational Life Science
- Software Applications in the Life Sciences