Diane Adjavon

I am currently a Machine Learning Researcher at the Funke Lab at HHMI Janelia. My research focuses on building interpretable computer vision tools to get the most out of (already extremely cool) microscopy. Previously, I did my PhD at the University of Edinburgh at the Swain Lab where I worked on automating the segmentation of yeast cells and some of their organelles in order to study the dynamics of glucose starvation, and got my Master’s from ENS Lyon working on information transfer in gene regulatory networks at the LBMC.

In my previous life studying computer systems security, I also got degrees from Telecom ParisTech/EURECOM.

When I am not complaining about code, you will find me crouching outside taking pictures of cool bugs. I am currently an aspiring birder so I will get excited about every single duck that I see.

I also like to run long-ish distances, slowly but deliberately. My best official 10k is 1h04. My best official half is 2h27. Marathon times pending. If you are unhappy with those times, check out my much cooler (Olympian!) brother.

news

Dec 10, 2024	QuAC pre-print is online!
Oct 25, 2024	Find me at i2k in Milan!
Sep 28, 2024	Updated this website.

latest posts

Mar 13, 2025	State of XAI - Brainstorm
Dec 13, 2024	QuAC! (redirected)
Oct 12, 2024	The Ladder of Causation

selected publications

Quantitative Attributions with Counterfactuals

Diane-Yayra Adjavon, Nils Eckstein, Alexander S. Bates, and 2 more authors

Dec 2024

Bib HTML

@article{adjavon2024quantitative,
  title = {Quantitative Attributions with Counterfactuals},
  author = {Adjavon, Diane-Yayra and Eckstein, Nils and Bates, Alexander S. and Jefferis, Gregory S.X.E. and Funke, Jan},
  year = {2024},
  month = dec,
  doi = {10.1101/2024.11.26.625505},
  url = {https://www.biorxiv.org/content/10.1101/2024.11.26.625505v1.full.pdf},
}

DaCapo: A Modular Deep Learning Framework for Scalable 3D Image Segmentation

William Patton, Jeff L. Rhoades, Marwan Zouinkhi, and 9 more authors

Aug 2024

Bib HTML

@misc{patton_dacapo_2024,
  title = {DaCapo: A Modular Deep Learning Framework for Scalable {{3D}} Image Segmentation},
  shorttitle = {DaCapo},
  author = {Patton, William and Rhoades, Jeff L. and Zouinkhi, Marwan and Ackerman, David G. and Malin-Mayor, Caroline and Adjavon, Diane and Heinrich, Larissa and Bennett, Davis and Zubov, Yurii and Team, CellMap Project and Weigel, Aubrey V. and Funke, Jan},
  year = {2024},
  month = aug,
  number = {arXiv:2408.02834},
  eprint = {2408.02834},
  publisher = {arXiv},
  doi = {10.48550/arXiv.2408.02834},
}

Determining growth rates from bright-field images of budding cells through identifying overlaps

Julian MJ Pietsch, Alán F Muñoz, Diane-Yayra A Adjavon, and 3 more authors

Elife, Aug 2023

Bib HTML

@article{pietsch2023determining,
  title = {Determining growth rates from bright-field images of budding cells through identifying overlaps},
  author = {Pietsch, Julian MJ and Mu{\~n}oz, Al{\'a}n F and Adjavon, Diane-Yayra A and Farquhar, Iseabail and Clark, Ivan BN and Swain, Peter S},
  journal = {Elife},
  volume = {12},
  pages = {e79812},
  year = {2023},
  doi = {10.7554/eLife.79812},
  publisher = {eLife Sciences Publications Limited},
}