Author

Halim Kusumaatmaja

University of EdinburghORCID 0000-0002-3392-9479Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Fynn WolfiD· 2 shared Sushma Nagaraja GrellscheidiD· 2 shared Aden ForrowiD· 1 shared Ashley J. KellyiD· 1 shared Britta Johanna EickholtiD· 1 shared Carl M. JonesiD· 1 shared Endre S Tønnessen· 1 shared Francis G. WoodhouseiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBiophysics

Fynn WolfORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Shapes of condensate droplets containing filaments

Fynn Wolf, Shannon Bareesel, Britta Johanna Eickholt, Roland L. Knorr, Susanna Röblitz, Sushma Nagaraja Grellscheid, Halim Kusumaatmaja, Thomas J. Böddeker

This study investigates how filaments deform biomolecular condensate droplets and identifies physical mechanisms governing their shapes.

bioRxiv · Apr 2, 2026 · PreprintBiophysics

FlickerPrint: An Analysis Package for Measuring Interfacial Tension and Bending Rigidity of Biomolecular Condensates and Vesicles at Scale

Thomas A. Williamson, Jack O. Law, Thomas Stevenson, Fynn Wolf, Carl M. Jones, Endre S Tønnessen, Sushma Nagaraja Grellscheid, Halim Kusumaatmaja

FlickerPrint measures interfacial tension and bending rigidity of biomolecular condensates and vesicles from confocal images using flicker spectroscopy, enabling scalable population-level analysis.

bioRxiv · Mar 24, 2025 · PreprintCell Biology

Learning dynamical information from static protein and sequencing data

Philip Pearce, Francis G. Woodhouse, Aden Forrow, Ashley J. Kelly, Halim Kusumaatmaja, Jörn Dunkel

The paper introduces a framework to infer state transition dynamics from static data, validated on protein folding, gene regulatory networks, and HIV evolution.

Nature Communications · Nov 26, 2019Peer-reviewedBioinformatics