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Hi there 👋

I'm a late stage PhD student at the Max Planck International Research School for Intelligent Systems, Univerity of Tübingen, and University of Göttingen. Since 2019, I'm part of the Neuronal Intelligence Team, led by Fabian Sinz. I work in collaboration with Andreas Tolias, Alexander Ecker, Katrin Franke, and Ziad Hafed.

I'm fascinated in equal parts by Neuroscience, especially the visual system, and Machine Learning. Seeing how AI can help with fundamental scientific discoveries is remarkable. I'm happy to be there for the ride, and to contribute where I can. Looking forward to how Neuroscience and ML might co-develop.

In current projects, I'm building neural predictive models on the basis of CNNs to predict neuronal activity in mouse and monkey. I'm also interested in how neural data can be used to make CNNs more robust to common image distortions. I'm the lead organizer (jointly with Paul Fahey from the Baylor College of Medicine) of the SENSORIUM competition - a multi lab effort to find the best neural predictive model of mouse V1, and at the same time making our neural predictive models accessible. I'm the happiest when I can create visualizations and to tinker with the latest tools to help with data analysis.

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🎓Google scholar

Popular repositories

  1. mei mei Public

    Forked from sinzlab/mei

    Visualize features cells are responsive to via gradient ascent.

    Python 1

  2. nndichromacy nndichromacy Public

    Forked from sinzlab/nndichromacy

    Project reposity for mouse color MEIs, in collaboration with Katrin Franke and the BCM.

    Jupyter Notebook 1

  3. GTCprojects GTCprojects Public

    Forked from catetrai/GTCprojects

    MATLAB 1

  4. GenerativeImageModellingWithDNNs GenerativeImageModellingWithDNNs Public

    Forked from leongatys/GenerativeImageModellingWithDNNs

    Here I will share the code from the lectures of the course: Generative Image Modelling with Deep Neural Networks taught in the Summer Term 2017 at the Graduate School for Neural Information Process…

    Jupyter Notebook

  5. datajoint-tutorial2019 datajoint-tutorial2019 Public

    Forked from eywalker/datajoint-tutorial2019

    DataJoint tutorial given in July 2019

    Jupyter Notebook

  6. Sinz2018_NIPS Sinz2018_NIPS Public

    Forked from sinzlab/Sinz2018_NIPS

    Code for the NIPS 2018 paper: "Stimulus domain transfer in recurrent models for large scale cortical population prediction on video"