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Merge pull request #6 from khoffschlag/patch-1
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Fill Kevin's profile with information
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spisakt authored Aug 27, 2024
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# Kevin Hoffschlag
# Kevin Hoffschlag

::::{grid} 2

:::{image} ../figures/kevin-hoffschlag.*
:alt: Kevin Hoffschlag
:width: 400px
:align: left
:::

::: {card} Hello 👋 I'm a research assistant with a passion for AI, computer vision and medicine.
My research is about deep learning based harmonization of MRI data.

email: kevin.hoffschlag@uk.essen.de
:::

::::


::: {card}
At the Predictive Neuroscience Lab, I’m excited about contributing to our team's efforts in leveraging AI to tackle complex neuroscience challenges.

My research focuses on developing deep learning-based methods for harmonizing MRI data across different sites.
This harmonization process is designed to address batch effects — variations in data that arise from differences in scanner equipment or imaging protocols.
These batch effects can introduce significant biases into multi-site MRI studies, making it challenging to draw reliable conclusions from downstream analyses.
By mitigating these effects, we aim to enhance the generalizability and reproducibility of analysis findings in multi-site MRI studies.

:::

:::{dropdown} Experience
:close:
1. **Research Assistant**<br>
Predictive Neuroscience Lab<br>
Essen, NRW, Germany<br>
July 2024 - Present<br>
Researching about deep learning based harmonization of MRI data.
<br><br>

2. **Student Assistant**<br>
Predictive Neuroscience Lab<br>
Essen, NRW, Germany<br>
October 2020 - June 2024<br>
Co-developed the neuroimaging workflow management system PUMI and applied machine learning techniques in the field of neuroscience (e.g., brain age prediction, MRI harmonization).
<br><br>
:::


:::{dropdown} Education
:close:
1. **University of Duisburg-Essen**<br>
Master's degree in Applied Computer Science<br>
2023 - Present<br>
<br><br>

2. **University of Duisburg-Essen**<br>
Bachelor's degree in Applied Computer Science<br>
2019 - 2023<br>
Thesis: Implementation of a Data Augmentation System for Image Datasets
<br><br>
:::

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