{"id":76061,"date":"2025-09-03T10:12:32","date_gmt":"2025-09-03T08:12:32","guid":{"rendered":"https:\/\/www.embl.org\/news\/?p=76061"},"modified":"2026-02-12T11:34:05","modified_gmt":"2026-02-12T10:34:05","slug":"welcome-jess-ewald","status":"publish","type":"post","link":"https:\/\/www.embl.org\/news\/people-perspectives\/welcome-jess-ewald\/","title":{"rendered":"Welcome: Jess Ewald"},"content":{"rendered":"\n

By Rebecca Nicholl, Marketing and Communications Manager in EMBL-EBI Training<\/em><\/p>\n\n\n\n

We recently caught up with Ewald about her background studying marine contaminants, her group’s current research priorities, and her love for green spaces.<\/p>\n\n\n\n

What is your professional background?<\/strong><\/h3>\n\n\n\n

I studied environmental engineering and applied mathematics in my undergraduate degree at Harvard University, US, where I learned how to build models of the atmosphere and oceans. <\/a><\/p>\n\n\n\n

During my time there, I connected with Canadian researcher Elsie Sunderland, who was studying contaminants in the Arctic and Subarctic and their impact on whales and seals. I built mathematical models to track how heavy metals moved through the tissues of these marine mammals and their ecosystems. I enjoyed this work, but the field data was scarce, with only around ten data points a year for my project.<\/p>\n\n\n\n

The computational elements appealed to me, so for my PhD at McGill University in Montreal, Canada, and my postdoc at the Broad Institute in Boston, US, I shifted to bioinformatics, using omics technologies to study how chemicals affect cells and tissues over time.  I used many different data resources, including EMBL-EBI’s Ensembl<\/a> and ChEMBL<\/a>, and that\u2019s how my introduction to EMBL began.<\/p>\n\n\n\n

What drew you in particular to toxicology?<\/strong><\/h3>\n\n\n\n

I fell in love with the multi-disciplinary element of it. Toxicology integrates so many different fields. You could reasonably expect to bump into biologists, ecologists, geologists, bioinformaticians, or chemists at environmental toxicology conferences, and I think that\u2019s a great environment to work in.  <\/p>\n\n\n\n

You also work with imaging data. How did that come about?<\/strong><\/h3>\n\n\n\n

During my PhD, I worked with omics data, mainly transcriptomics, metabolomics, and proteomics. Then I met Anne Carpenter, from the Broad Institute of MIT and Harvard, at a toxicology conference, who made the case that microscopy images can carry just as much biological information as other omics data if we analyse them in the right way.<\/p>\n\n\n\n

Images also naturally provide spatial context at the single-cell level. I see a lot of potential in using images to link the effects of chemicals across biological scales, for example, from cells to tissues. With my group, I plan to focus on developing computational methods to extract meaningful, interpretable insights from image data.<\/p>\n\n\n\n

\"\"
Fluorescent microscopy image of human liver-derived HepaRG cells using Cell Painting, a technique that highlights multiple cell structures with different dyes. Ewald uses this approach to study chemical toxicity in the liver. Image credit: Oasis consortium.<\/figcaption><\/figure>\n\n\n\n

You have worked on many different projects. Can you tell us about your work with the OASIS consortium?<\/strong><\/h3>\n\n\n\n

I wanted to see what insights machine learning could reveal from high-throughput methods, so I was very excited when I heard that the Carpenter-Singh lab at the Broad Institute was co-leading a new, toxicology-focused consortium.<\/p>\n\n\n\n

The OASIS consortium<\/a> is a collaboration between pharma, agrochemical, and biotech partners, as well as academic, government, and non-profit collaborators. <\/p>\n\n\n\n

The consortium aims to screen compounds with public liver toxicity data using cell models and organoids. By analysing these data using omics and high-throughput methods, we can identify predictors of liver toxicity.<\/p>\n\n\n\n

What\u2019s on the horizon for your research group in the next 12 months?<\/strong><\/h3>\n\n\n\n

One of the things I\u2019m prioritising is collaboration with other groups across EMBL and EMBL-EBI\u2019s neighbours at the Wellcome Sanger Institute.<\/p>\n\n\n\n

Through EMBL\u2019s \u2018Human ecosystem\u2019 transversal theme<\/a>, I\u2019ve started a collaboration with Beate Neumann and Michael Zimmerman\u2019s research groups in EMBL Heidelberg, who have built a pesticide library<\/a>. They\u2019ve been working to understand what pesticides are doing to insects, and we\u2019ve started a project to explore the effects of some of these pesticides in humans. <\/p>\n\n\n\n

You\u2019re currently recruiting PhD and postdocs to your team. What sort of person are you looking for?<\/strong><\/h3>\n\n\n\n

I would love to fill the lab with a mix of people from cell biology and computational science backgrounds, but more importantly, I\u2019m looking for people with a real passion for understanding how the environment, in particular chemical contaminants, impacts the health of humans and the ecosystems we live in. We need people<\/a> who are willing to jump into a new area and not be afraid to ask questions, big or small. <\/p>\n\n\n\n

Read more about the Ewald group here. <\/a><\/p>\n\n\n\n

You\u2019ve swapped Cambridge, Massachusetts, for Cambridge, UK. What do you enjoy about your new environment?<\/strong><\/h3>\n\n\n\n

I\u2019ve fallen in love with the parks and green spaces. I grew up on a farm with cows, and so the cow-filled meadows in Cambridge are a welcome sight. My husband and I take our dog for regular walks, and she can often be found playing in the long grass and sniffing out the berries in the hedgerows. I find myself looking up at this scene with a smile: the cows grazing in the foreground, and the 500-year-old library next to the modern research lab in the background. A true snapshot of Cambridge and a dream I never knew I had.<\/p>\n\n\n\n

\"\"
Outside of work, Ewald enjoys walking her dog and surrounding herself by nature. Credit: From the personal archive of Jess Ewald.<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"

Jess Ewald, Research Group Leader at EMBL-EBI, uses cell profiling and AI to find and characterise chemical hazards to humans and ecosysystems.<\/p>\n","protected":false},"author":16,"featured_media":76069,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[17593,11054],"tags":[4718,28,36,914,79,539,295],"embl_taxonomy":[2906,10022,19553],"class_list":["post-76061","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-people-perspectives","category-perspectives","tag-artificial-intelligence","tag-bioinformatics","tag-embl-ebi","tag-interdisciplinary-research","tag-microscopy","tag-research-highlight","tag-welcome","embl_taxonomy-embl-ebi","embl_taxonomy-embl-ebi-research","embl_taxonomy-jessica-ewald"],"acf":{"vfwp-news_embl_taxonomy":[2906,10022,19553],"featured":true,"show_featured_image":false,"field_target_display":"both","field_article_language":{"value":"english","label":"English"},"article_intro":"

EMBL-EBI’s newest Research Group Leader is using machine learning and cell profiling to characterise chemical hazards to humans and ecosystems<\/p>\n","related_links":[{"link_description":"Ewald research group","link_url":"https:\/\/www.ebi.ac.uk\/research\/ewald\/"}],"source_article":false,"in_this_article":false,"press_contact":"None","article_translations":false,"languages":""},"embl_taxonomy_terms":[{"uuid":"a:3:{i:0;s:36:\"b14d3f13-5670-44fb-8970-e54dfd9c921a\";i:1;s:36:\"89e00fee-87f4-482e-a801-4c3548bb6a58\";i:2;s:36:\"a99d1a7c-ca83-4c00-ab61-d082d3e41ce3\";}","parents":[],"name":["EMBL-EBI"],"slug":"embl-ebi","description":"Where > All EMBL sites > EMBL-EBI"},{"uuid":"a:2:{i:0;s:36:\"302cfdf7-365b-462a-be65-82c7b783ebf7\";i:1;s:36:\"442a4893-2c31-4523-b9eb-fb1ee4bd2037\";}","parents":[],"name":["EMBL-EBI Research"],"slug":"embl-ebi-research","description":"What > EMBL-EBI 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