School of Engineering
Showing 41-60 of 91 Results
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Rani Kronenberger
Postdoctoral Scholar, Bioengineering
BioRani is a Belgian MD, PhD candidate, former surgery resident, and Stanford Biodesign Fellow.
She graduated magna cum laude from VUB, where she joined Brugada’s heart lab to study complications in arrhythmia ablation and investigate prevention strategies. She has co-authored over 20 peer-reviewed publications, first-authored two novel surgical techniques, and presented her work internationally. Her PhD research focuses on finding eligible 3D printing materials for patient-tailored epicardial guides in hybrid arrhythmia ablation. She has completed the Venture Advancement Program at MIT, and earned a Laboratory Animal Science Certification from KU Leuven. She is currently an Innovation Fellow at Stanford Biodesign, focused on need-driven healthcare innovation. -
Viviana Macarelli
Postdoctoral Scholar, Bioengineering
BioViviana earned her PhD in Clinical Biochemistry from the University of Cambridge (UK) in 2024, where she focused on the role of primary cilia in metabolic sensing by the hypothalamus. She then joined the Lundberg lab as a postdoc for a project in collaboration with the Chan Zuckerberg Imaging Institute. She will focus on characterizing primary cilia in the adult brain using human induced pluripotent stem cells (hIPSC).
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Mariya Mardamshina
Postdoctoral Scholar, Bioengineering
BioMariya Mardamshina, MD, PhD, is a postdoctoral fellow in the Department of Bioengineering, working in Prof. Emma Lundberg's lab. She earned her medical degree from Semey State Medical University and completed her PhD at Tel Aviv University, where her research focused on spatial inter- and intratumoral heterogeneity in breast cancer using mass spectrometry-based proteomics. Currently, her work in the Lundberg lab centers on deciphering cell-to-cell proteomic variability within a spatial framework. Her research involves developing integrated pipelines that combine automated multiplexed staining, high-resolution microscopy, artificial intelligence, and ultra-high sensitivity mass spectrometry to achieve comprehensive proteomic analyses.
