Author

Babatunde Ogunlade

Stanford 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· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Jennifer A. DionneiD· 2 shared Alexandria B B BoehmiD· 1 shared Antony Georgiadis· 1 shared Ariel StiberiD· 1 shared Boi Bryant Quach· 1 shared Charm Ang· 1 shared Crystal Lee MackalliD· 1 shared David Bernard MiklosiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioengineering

Jennifer A. DionneORCID

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2 papers

Recent·Most cited

Dynamic, single-cell monitoring of CAR T cell identity and activation with Raman spectroscopy

Ariel Stiber, Boi Bryant Quach, Babatunde Ogunlade, Antony Georgiadis, Kai Chang, Y. Li, Patrick J. Quinn, Haoqing Wang, Kristin CY Tsui, Charm Ang, Elena Sotillo, David Bernard Miklos, Crystal Lee Mackall, Zinaida Good, Jennifer A. Dionne

Gold-nanorod surface-enhanced Raman spectroscopy with LightGBM separates CAR T from untransduced T cells, tracks antigen-specific activation dynamics, and discriminates sorted CAR+ from CAR- patient T cells.

bioRxiv · Jul 18, 2026 · PreprintBioengineering✦ In-depth digest

Bacterial Wastewater-Based Epidemiology Using Surface-Enhanced Raman Spectroscopy and Machine Learning

Liam K. Herndon, Yirui Arlene Zhang, Fareeha Safir, Babatunde Ogunlade, Halleh B. Balch, Alexandria B B Boehm, Jennifer A. Dionne

This paper develops a label-free, scalable method for bacterial detection in wastewater using SERS and machine learning, achieving over 85% accuracy at 10^9 cells/mL.

Nano Letters · Jan 17, 2025Peer-reviewedBioengineering