17 People Results for the Tag: Biological Marker
Laura Carrel
Professor of Biochemistry and Molecular Biology
Genetic, epigenetic, and genomic regulation of expression on the mammalian X chromosome.
Dajiang Liu
Co-Chair, Intercollege Graduate Degree Program in Bioinformatics and Genomics; Professor of Public Health Sciences and Biochemistry and Molecular Biology
Developing novel methods to analyze very large scale datasets in order to identify genes that are responsible for disease, understand the disease mechanism, and gain clinical insights.
Howard Salis
Associate Professor of Chemical Engineering; Associate Professor of Agricultural and Biological Engineering
Engineering microorganisms for applications in synthetic biology and metabolic engineering.
Colin Barnstable
Professor and Chair of Neural Behavioral Sciences
How interacting networks of transcription factors and signal transduction molecules guide the development of precursor/stem cells into mature neurons. Role of these networks in neurodegenerative diseases. Factors that can act as neuroprotective agents.
Yasser El-Manzalawy
Assistant Research Professor of Information Sciences and Technology
Tae Hyun Kim
Huck Early Career Chair; Assistant Professor of Avian Biology
Improving poultry health by applying modern genetic approaches including gene editing. Particular focus on identifying key genes and regulatory elements associated with improved economic traits.
Center for Infectious Disease Dynamics
Sibel Irmak
Research Professor of Agricultural and Biological Engineering
Ilias Georgakopoulos-Soares
Assistant Professor
The development and implementation of new computational methods in genomics and molecular biology, with the aim of identifying genetic biomarkers for the diagnosis, monitoring, and treatment of human diseases, including bacterial and viral infections and of aging-associated diseases including neurodegenerative diseases and cancer.
Stefan Canzar
Associate Professor of Computer Science and Engineering
Algorithmic bioinformatics, computational genomics. We develop algorithms and software for single-cell genomics and spatial transcriptomics data. We use techniques from combinatorial optimization, linear programming, and machine learning.