Hannah Schlueter

I am a PhD candidate in Electrical Engineering and Computer Science at MIT, advised by Caroline Uhler.

Hannah Schlueter

Publications

Integrating representation learning, permutation, and optimization to detect lineage-related gene expression patterns
Hannah M. Schlüter, Caroline Uhler
Nature Communications, 2025
doi.org/10.1038/s41467-025-56388-7 →
Natural synthetic anomalies for self-supervised anomaly detection and localization
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
European Conference on Computer Vision, 2022
doi.org/10.1007/978-3-031-19821-2_27 →
Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil
Nuno R. Faria, Thomas A. Mellan, Charles Whittaker, and 73 others including Hannah M. Schlüter
Science, 2021
doi.org/10.1126/science.abh2644 →
Comparison of statistical tests and power analysis for phosphoproteomics data
Lei J. Ding, Hannah M. Schlüter, Matthew J. Szucs, Rushdy Ahmad, Zheyang Wu, Weifeng Xu
Journal of Proteome Research, 2019
doi.org/10.1021/acs.jproteome.9b00280 →

About

I am currently a PhD candidate in Electrical Engineering and Computer Science at MIT, advised by Caroline Uhler.

My research focuses on creating new computational methods at the intersection of artificial intelligence and biology. I am currently most interested in developing statistical and machine learning methods to study how cell morphology changes in response to cancer, aging, and drug treatments using imaging-based data modalities.

My past work spans statistical modeling for neuroscience and public health applications, self-supervised computer vision for biomedical applications, and representation learning for lineage-resolved single-cell transcriptomics in the context of cancer and development. My research has been supported by the Eric and Wendy Schmidt Center.

Before starting my PhD, I spent a year building video editing tools at Google. I obtained my Master's degree in Mathematics and Computer Science from Imperial College London, where I conducted research with Bernhard Kainz and Seth Flaxman.

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