Research portfolio

Michael Thane

Visual Analytics for Behavioral Data

I design and study interactive visualization approaches for behavioral and biological data—from embeddings and categorical structure to spatial patterns—bridging visual analytics, empirical methods, and domain insight.

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Research focus

Work sits at the intersection of visual analytics, behavioral science, and neurobiology—with emphasis on systems that support reasoning over complex, high-dimensional, and spatial data.

  • Visual analytics

    Interactive representations and workflows that scale from exploration to annotation and hypothesis formation.

  • Behavioral data

    Embeddings, trajectories, and categorical structure in animal and human behavioral recordings.

  • Neurobiology & methods

    Grounding visualization design in biological questions and reproducible empirical pipelines.

  • Interactive research systems

    Prototype tools co-developed with collaborators for study-specific analysis needs.

Selected systems

Representative prototypes and published tools. Screenshots are placeholders; assets can be dropped into assets/img/.

LarVA · visual preview
Private research prototype · access on request

LarVA

Interactive visual analysis and annotation of behavioral embeddings in Drosophila larvae.

KumaQ · map / spatial view
Research prototype / study version

KumaQ

Public-facing visual analytics prototype for bear sighting patterns and spatial risk perception in Hokkaido.

CatNetVis · graph exploration
Published research system

CatNetVis

Semantic visual exploration of categorical high-dimensional data.

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Publications & output

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  • Peer-reviewed

    Reserved slot — title, venue, year, DOI.

  • Proceedings / posters

    Reserved slot — title, event, year.

  • Technical reports

    Reserved slot — optional institutional or preprint reference.

Contact

For collaborations, system access (e.g. LarVA), or general inquiries, please reach out via your institutional or preferred channel.

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Site: michael-thane.de