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Explore labs connecting computation with biological and biomedical research. Use their profiles and source links to investigate the questions, data, and methods behind the listed research interests.
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Profiles appear here because their listed research keywords match this topic. Inclusion does not establish an open position. Check the official sources and any published application instructions before reaching out.
Prepare a research introduction ↗31 research-led lab profiles
Browse labs by their listed college affiliationPruden Laboratory
Virginia Polytechnic Institute and State University
Amy Pruden · Professor
How do microbial communities in water and agricultural systems influence the spread of antibiotic resistance? The lab uses next-generation DNA sequencing and bioinformatics to track pathogens, resistance genes and functional bacterial groups. Research investigates antibiotic-resistance genes as environmental contaminants and examines the microbial ecology of drinking-water systems. Other directions include bioremediation and the environmental effects of nanotechnology. These approaches connect the composition and capabilities of microbial communities with engineering questions about water treatment, agricultural practices and environmental health.
Rustom Antia Research Group
Emory University
Rustom Antia · Samuel C. Dobbs Professor of Biology
How do pathogens and immune responses change over time within hosts, and what drives those dynamics? The Antia Lab uses mathematical models and computer simulations to study pathogen and immune-response dynamics and to generate testable predictions. The group validates models by confronting them with experimental data and collaborates with experimental immunologists to conduct relevant experiments. The lab works closely with experimental partners, specifically the group of Dr. Rafi Ahmed at Emory, to compare model predictions with empirical results.
Sarah Bagby Research Group
Case Western Reserve UniversitySarah Bagby · Associate Professor
How do environmental variables drive the evolution and spread of microbial and viral functional innovations across ecosystems? The lab conducts fieldwork and bioinformatics studies to describe microbial communities and in situ processes across environmental gradients. Researchers perform experiments using ecological, microbiological, and biochemical methods to identify and characterize molecular innovations such as gated microcompartments and pigment biosynthesis pathways. The group applies ecoinformatics to quantify the effects of microbial community processes on biogeochemical cycles and the Earth system. Projects link molecular mechanisms to ecosystem-level impacts by combining sequencing, experimental manipulation, and computational analysis.
Valerie Horsley Research Group
Yale University
Valerie Horsley · Professor of Molecular, Cellular and Developmental Biology and Associate Professor of Dermatology
How do adult epithelial stem cells and non-epithelial neighbors coordinate to maintain tissue homeostasis, repair wounds, and influence fibrosis or tumorigenesis? The Horsley lab uses mouse genetics, cell culture, genomics, and microscopy to dissect cell-intrinsic and cell-extrinsic regulators of epithelial regeneration. Researchers study stem cell contributions to wound healing and scarring, the role of adipocytes and myeloid metabolism in skin repair, and molecular biomarkers of keloids and fibrosis. The group leverages clinical resources and collaborates across stem cell and engineering groups to address clinically relevant questions in epithelial biology and dermatology.
Wittkopp Lab
University of Michigan-Ann Arbor
Patricia Wittkopp · Deborah E. Goldberg Distinguished University Professor
Which genetic changes explain why related organisms develop different visible traits? The group investigates how the regulation of gene expression evolves within and between species. Research combines molecular, developmental and quantitative genetics to connect changes in DNA regulation with differences in development. One focus examines the evolution of pigmentation in Drosophila, while another considers patterns of regulatory change across whole genomes. The work links particular genetic changes to broader evolutionary processes, examining how variation in gene activity contributes to differences among organisms.
Yoseph Barash Research Group
University of PennsylvaniaYoseph Barash · Professor of Genetics
How do sequence features and cellular context determine mechanisms of alternative splicing and post‑transcriptional isoform regulation in human tissues? The lab develops machine learning algorithms that integrate high‑throughput data such as RNASeq and CLIPSeq to infer RNA biogenesis and function. They build probabilistic graphical models and other computational methods to predict effects of genetic variation on RNA processing, including splicing QTLs. Predictions from computational models are followed by experimental verifications using high‑throughput sequencing assays to test inferred regulatory mechanisms. Ongoing projects include integrating long‑read 3′ and 5′ assays and polyA site annotation to resolve isoform diversity and variant effects on transcript ends.
Ziv Bar-Joseph Research Group
Carnegie Mellon University
Ziv Bar-Joseph · FORE Systems Professor of Computer Science; Ray & Stephanie Lane Computational Biology Department; Machine Learning Department
How do computational methods reveal interactions and dynamics in complex biological systems across time? The Systems Biology Group develops computational methods for understanding interactions, dynamics and conservation of complex biological systems using approaches that span experimental design to systems-level analysis. The group builds algorithms inspired by biological distributed systems to improve distributed computing and to infer information-processing principles in biology. Projects include development of methods for experimental design and for reconstruction of dynamic biological networks from high-throughput temporal data. Researchers apply machine learning and bioinformatics to integrate static and temporal datasets to model biological system behavior.
Showing 25–31 of 31 labs