Jess Ewald
banner
ewaldlab.org
Jess Ewald
@ewaldlab.org
Computational biologist using omics data (imaging, gene expression) to investigate the impacts of environmental contaminants on biological systems

Group Leader @EMBL-EBI (www.ewaldlab.org)
The visa is easy to obtain, for you and for any immediate family members. It allows a spouse to work in the UK.

Please reach out with any questions!
August 7, 2025 at 9:14 AM
Project 7: Predict cellular phenotypes induced by environmental contaminants based on compound structure and cellular images using generative AI, in collaboration with Mo Lotfollahi (www.sanger.ac.uk/group/lotfol...)
August 7, 2025 at 9:14 AM
Project 3: Decode morphological programmes of T cell activation through multimodal imaging and machine learning, in collaboration with @gosiatrynka.bsky.social (www.sanger.ac.uk/group/trynka...)
August 7, 2025 at 9:14 AM
Two of the projects are co-hosted by my lab (ewaldlab.org)
Ewald Lab
@ EMBL-EBI. We identify and characterize chemical hazards to both humans and ecosystems with cell profiling data, machine learning, and integrative data analysis.
ewaldlab.org
August 7, 2025 at 9:14 AM
Two EMBL-specific quirks:
- EMBL salaries are "after tax", so the stated salary is roughly equivalent to $70k USD
- Employees qualify for a quick & inexpensive visa exemption that allows them and their spouse/children to work in the UK (my visa was processed in 2 days and cost me $50USD)
March 6, 2025 at 9:24 PM
6/ Huge thank you to my co-authors at Axiom who were wonderful to work with, as well as to the entire OASIS Consortium.
February 3, 2025 at 12:32 PM
5/ These findings demonstrate the potential of image-based profiling as a sensitive, animal-free, early-stage screening tool for compound toxicity.
February 3, 2025 at 12:32 PM
4/ We found that the morphological profiles detect compound bioactivity at lower concentrations than standard cytotoxicity assays. In supervised analyses, they predict cytotoxicity and targeted cell-based assay readouts, but not cell-free assay readouts.
February 3, 2025 at 12:32 PM
3/ We then use supervised machine learning to predict diverse in vitro assay readouts relevant to mode-of-action and cell state using image-based profiles. We also investigate optimal strategies for extracting information from images to make mode-of-action predictions.
February 3, 2025 at 12:32 PM
2/ High-throughput, human-relevant approaches for predicting chemical toxicity are urgently needed.

In our new preprint, we use Cell Painting and cytotoxicity assays to profile >1000 compounds in primary human hepatocytes, including pharmaceuticals, pesticides, and industrial chemicals.
February 3, 2025 at 12:32 PM
Thanks, I'll try make it out! This is right after I move.
December 15, 2024 at 2:58 PM
I think about macromolecules a lot, but mainly as either targets of small molecules that cause target-mediated toxicity, or as something that we can measure at scale (omics data) to detect toxicity.
December 13, 2024 at 7:20 PM
Thanks! Looking forward to starting!
December 13, 2024 at 5:46 PM