School of Engineering
Showing 441-460 of 588 Results
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Paul Schmiedmayer
Postdoctoral Scholar, Bioengineering
Current Research and Scholarly InterestsDr. Schmiedmayer's research investigates scalable, intelligent, data-driven systems that leverage patient data and connected devices to provide real-time, personalized healthcare. He aims to validate these solutions by deploying AI-based models on resource-constrained, patient-facing devices, such as smartphones and smart devices, ensuring that personalized medicine is both cost-effective and privacy-preserving.
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Luise Avelina Seeker
Basic Life Research Scientist
BioLuise Seeker is a trained vet from Berlin, Germany with a strong interest in researching ageing at a cellular level. She obtained a PhD in Genomics from the University of Edinburgh in 2018 for studying telomeres, their heritability and their power to predict lifespan (supervised by Profs. Georgios Banos, Dan Nussey, Mike Coffey and Bruce Whitelaw). She joined Prof. Anna Williams' lab at the University of Edinburgh as a postdoc and investigated transcriptional changes with ageing in the human central nervous system.
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Merlinda-Loriane Sewavi
Life Science Research Professional 2, Program-Skylar-Scott, M.
BioMerlinda-Loriane is a translational Bioprocess Engineer at Stanford University specializing in protocol architecture for stem cell regenerative systems. At Stanford, she is a member of the BASE Initiative, the Cardiovascular Institute, and holds joint appointments with the School of Engineering and School of Medicine in Bioengineering. Her work focuses on engineering scalable, sequencing-grade pipelines for 3D iPSC-derived cardiomyocyte models, including atrial and ventricular subtypes. She also specializes in developing full-stack molecular and bioprocess workflows that convert 2D cells into robust 3D systems, and her technical fluency spans RNA sequencing, qPCR, spatial transciptomics, and multi-omic integration for translational pipeline development.
She is an early foundational technical validator for a next-generation AI platform designed to optimize experimental workflows in microbiology, human biology, chemical biology, bioprocessing, and diagnostics. Her contributions shape how AI can support bench scientists with iterative protocol refinement in real-time lab contexts. She is also a National GEM Consortium Fellow and a Rackham Merit Fellow.
