Author

Jingxia Lu

University of Illinois Urbana-ChampaignORCID 0000-0002-8635-8753Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Synthetic Biology· 2

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Huimin ZhaoiD· 2 shared Nilmani SinghiD· 2 shared Adrianna Ramos· 1 shared Aurosish Sharma· 1 shared Chen Wang· 1 shared George Heintz· 1 shared Haiyang CuiiD· 1 shared John McLaughlin· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersSynthetic Biology

Huimin ZhaoORCID

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2 papers

Recent·Most cited

An AI-powered cloud biofoundry for autonomous biological research

Junyu Chen, Michael J. Volk, Saman Shafaei, Shih‐I Tan, Vikas Upadhyay, Nilmani Singh, Xianrui Zhong, Katherine Arneson, Wenqi He, Chen Wang, Jingxia Lu, Aurosish Sharma, John McLaughlin, Matthew Berry, Steven Harmon, , Huimin Zhao

The paper introduces iCloudBiofoundry, a cloud platform that autonomously designs, executes, and iteratively improves biological experiments using AI-driven workflows.

bioRxiv · Oct 1, 2026 · PreprintSynthetic Biology

A Generalized Platform for Artificial Intelligence-powered Autonomous Protein Engineering

Nilmani Singh, Stephan Lane, Tianhao Yu, Jingxia Lu, Adrianna Ramos, Haiyang Cui, Huimin Zhao

This paper introduces an AI-powered platform for autonomous protein engineering that uses machine learning and biofoundry automation to rapidly improve protein function without human intervention.

bioRxiv · Feb 12, 2025 · PreprintSynthetic Biology