Author

Jon Albo

Cornell University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

N. J. CiraiD· 3 shared Shenghao TaniD· 3 shared Aaron M. RobidaiD· 1 shared David H. ShermaniD· 1 shared Debmalya Sarkar· 1 shared Harkirat Singh AroraiD· 1 shared Joee D DenisiD· 1 shared Katherine L. LeviD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersMicrobiology

N. J. CiraORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Precise loading of scarce reagents on droplet microarrays

Shenghao Tan, Jon Albo, Nate Cira

This paper introduces a method to precisely load scarce reagents on droplet microarrays, reducing material usage and enabling high-throughput assays with minimal volumes.

bioRxiv · Mar 18, 2026 · PreprintMicrobiology

EZ-SPOTs: A simple and robust high-throughput liquid handling platform

Jon Albo, Shenghao Tan, Joee D Denis, Rebecca Franklin‐Guild, Samira Shiri, Kelsi M. Sandoz, N. J. Cira

EZ-SPOTs provides a cost-effective, reusable liquid handling platform for high-throughput experiments, matching gold standard assays in antibiotic susceptibility testing.

Lab on a Chip · Jan 1, 2026Peer-reviewedBioengineering

Ultra-high-throughput screening of antimicrobial combination therapies using a two-stage transparent machine learning model

Margaret M. Reuter, Katherine L. Lev, Jon Albo, Harkirat Singh Arora, Nemo Liu, Shenghao Tan, Madeline R. Shay, Debmalya Sarkar, Aaron M. Robida, David H. Sherman, Rudy J. Richardson, Nate Cira, Sriram Chandrasekaran

This paper introduces M2D2, a two-stage ML model that identifies synergistic antimicrobial drug combinations and validates them experimentally against E. coli.

bioRxiv · Nov 25, 2024 · PreprintSystems Biology