kaiko.ai
Nils Eckstein is currently serving as the NLP R&D Lead and Machine Learning Engineer at kaiko.ai since February 2023. Prior to this role, Nils gained experience as an AI Resident at Novartis from July 2021 to July 2022, focusing on Representation Learning & DNN Interpretability. Nils also worked as a Doctoral Student at ETH Zürich from September 2016 to May 2021, where Nils developed machine learning algorithms for analyzing terabyte-scale electron microscopy image datasets. With a background in Physics, Nils holds a PhD in Machine Learning, an MSc in Physics, and a BSc in Physics from ETH Zürich.
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kaiko.ai
kaiko.ai is a data & Al company that bridges medical research and clinical application through the development and integration of multimodal foundation models in oncology. Unlocking the potential within clinical data is key to the next series of breakthroughs in healthcare. We are transforming the clinical Al stack through our: - Data and Al platform - Multimodal Foundation Models In collaboration with leading European cancer institutes, we're setting new standards in digital oncology. Our partnership with the Netherlands Cancer Institute is at the forefront of this change.