Author

Vijay Sairam

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

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Akbar K. VahidiiD· 1 shared Alessandro SerafiniiD· 1 shared Angelica Faith L. SuareziD· 1 shared Cheng Soon OngiD· 1 shared Daniel SteinbergiD· 1 shared Helen T. PoweriD· 1 shared Lorivie Fragata· 1 shared Pradeep M. NairiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Akbar K. VahidiORCID

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1 paper

Recent·Most cited

Generative Machine Learning and Microfluidics uHTS: An Efficient Partnership for Enzyme Engineering

Pradeep M. Nair, Daniel Steinberg, Tiago Resende, Angelica Faith L. Suarez, Helen T. Power, Cheng Soon Ong, Vijay Sairam, S CHENG, Lorivie Fragata, Alessandro Serafini, Victor H. Oh, Say Hwa Tan, Robert E. Speight, Akbar K. Vahidi

This paper combines microfluidic high-throughput screening with a generative model to engineer an enzyme with improved specificity, achieving higher product enrichment than traditional screening methods.

bioRxiv · Nov 2, 2025 · PreprintBioengineering