Chris Bailey‐Kellogg

Dartmouth College

Papers

3

Total Citations

37

H-Index

3

About

Chris Bailey-Kellogg is a researcher whose work bridges computational biology, immunology, and laboratory automation, with particular focus on peptide-MHC interactions and high-throughput experimental methods. His most recognized contribution is the development of a miniaturized, 384-well format MHC II binding assay, which provides rapid and quantitative analysis of peptide epitopes relevant to immunogenicity. This innovation reduced reagent costs by 75% while maintaining high sensitivity, making epitope identification, deletion, and design significantly more accessible to the broader research community — a contribution that has garnered nearly 30 citations across related publications. Bailey-Kellogg has also made meaningful strides in laboratory automation, developing algorithmic methods for robotic hierarchical mixing to efficiently produce combinatorial libraries of proteins and small molecules. This work streamlines complex experimental workflows by intelligently ordering mixing steps across any number of reactants and stoichiometries. Together, his contributions reflect a commitment to making sophisticated biochemical experimentation faster, cheaper, and more reproducible. His interdisciplinary approach — combining wet lab innovation with computational planning — positions him as a valuable contributor to the fields of protein engineering, vaccine development, and automated biological research.

Research Focus

Key Achievements

3
H-Index
3
Papers
37
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
21 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Dartmouth College

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago