Update nadieh-khalili.md

Author: nadieh

content/pages/members/nadieh-khalili.md

@@ -12,7 +12,14 @@ scholar: https://scholar.google.com/citations?user=xMM4GdgAAAAJ&hl=en
 orcid: https://orcid.org/my-orcid?orcid=0000-0002-2255-0332
 linkedin: https://www.linkedin.com/in/nadieh-khalili-bb659631/
 
-Nadieh Khalili has been appointed as an assistant professor, with a research focus on multi-modal medical data analysis spanning imaging to genomics, applying federated data analysis. She earned her master’s degree in biomedical engineering with magna cum laude honors from the University of Bern. Her Ph.D. research concentrated on neonatal and fetal brain MRI, employing deep learning to study both fetal and neonatal brain structures. After completing her Ph.D., Nadieh transitioned to pathology imaging as an AI scientist in ContextVision and Philips. In 2023, she returned to academia, driven by her research passion. Nadieh is the Executive Event Officer for Women in MICCAI, serves on the program committee for [SPIE](https://spie.org/MI/conferencedetails/digital-and-computational-pathology?SSO=1), and is an editorial board member at [ESDIP](https://digitalpathologysociety.org/).
+Nadieh Khalili has been appointed as a researcher in [Talent Track 1](https://www.radboudumc.nl/en/intranet/research/scientific-career-path/talent-track/what-talent-track) at Radboud University Medical Center. Her research focuses on multimodal medical data analysis as part of the [Sectorplan Data-Driven Innovation](https://www.radboudumc.nl/en/projects/sector-plan-medische-en-gezondheidswetenschappen/information-and-available-positions-by-strategic-theme/data-driven-innovation), bridging imaging to genomics.
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+Her experience includes radiology AI during her PhD at the [qurAI group](https://qurai.amsterdam/), where she developed deep learning methods for neonatal and fetal brain MRI. Later, she worked in industry as an AI scientist at [ContextVision](https://www.contextvision.com/) and [Philips](https://www.philips.com/), applying AI in pathology. In 2023, she returned to academia and now leads multimodal AI projects within DIAG and CPG, focusing on early prediction of molecular alterations and treatment response from multi-modal data.
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+Nadieh is an organizer of the [CHIMERA challenge](https://chimera.grand-challenge.org/) at MICCAI, a contributor to the [DALPHIN benchmarking initiative](https://www.diagnijmegen.nl/projects/dalphin/), and co-organizer of [COMPAYL 2024 and 2025](https://www.compayl.com/). She teaches a Master’s course on multimodal medical data integration and is pursuing her Basic Teaching Qualification (BKO). She currently supervises multiple PhD and MSc students.
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+She is a board member of [ESDIP](https://www.esdipath.org/), serves on the program committee for [SPIE](https://spie.org/conferences-and-exhibitions/medical-imaging), and is the Executive Event Officer for [Women in MICCAI](https://www.womeninmiccai.org/).
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