Recommended expert
Sebastian Papazoglou
Postdoctoral Research Associate
Experience
Sep 2023 - Oct 2024
1 year 2 monthsPostdoctoral Research Associate
Max Planck Institute for Human Development
- Published a peer-reviewed article on comparative analysis of biophysical models in diffusion MRI, impacting ongoing research projects.
- Got SciPy selected for the cover image of the corresponding journal issue.
Jun 2020 - May 2022
2 yearsPostdoctoral Research Associate
Institute of Systems Neuroscience
- Transferred and finetuned a convolutional neural net for axon segmentation pre-trained on laser-scanning-microscopy data to light microscopy data.
- Co-authored a research article on axon segmentation on large sections of laser-scanning-microscopy data using a convolutional neural net beating the gold standard by orders of magnitude.
- Mentored PhD students in computational neuroscience techniques and research.
Jun 2019 - May 2020
1 yearData Scientist
mediaire
- Automated reporting of MongoDB MRI datasets to Google Spreadsheets, improving data accessibility and facilitating decision making and project planning.
- Conducted exploratory analyses on longitudinal MR datasets to identify clinical patterns that could lead to business applications.
- Developed a baseline disease classification machine learning model based on brain volume, supporting a funding round.
Feb 2018 - May 2019
1 year 4 monthsPostdoctoral Research Associate
Institute of Systems Neuroscience
- Developed a linear MRI signal model and published the research in a peer-reviewed journal.
- Invited to a Q&A blog of the International Society of Magnetic Resonance in Medicine for the research.
Aug 2009 - Dec 2016
7 years 5 monthsPostdoctoral Research Associate
Charité University Medicine Berlin
- Developed and implemented a pipeline for automatic brain volumetry on large neuroscience and clinical MRI datasets.
- Conducted research projects in brain morphometry, elastography, and elastic wave propagation.
- Published findings in peer-reviewed journals.
- Mentored students.
Summary
Experienced physicist and emerging data scientist with 20+ years in magnetic resonance imaging research, authoring and co-authoring over 50 peer-reviewed papers and presenting at major international conferences.
Advanced technical proficiency in Python, machine learning, and data visualization.
Recent graduate of SPICED Academy’s Data Science & AI Bootcamp, with a capstone project applying AI to fake news detection.
Ready to leverage deep analytical expertise and multidisciplinary collaboration to drive innovation and actionable insights.
Skills
- Python
- Matlab
- Bash Script
- Maple
- Jupyter
- Vs Code
- Pycharm
- Google Colab
- Streamlit
- Git
- Mongodb
- Dbeaver
- Pytorch
- Scikit-learn
- Langchain
- Pandas
- Hugging Face
- Numpy
- Scipy
- Matplotlib
- Dash
- Seaborn
- Ms Office
- Canva
- Confluence
- Jira
- Latex
Languages
German
NativeEnglish
AdvancedFrench
IntermediateEducation
Oct 2003 - Jun 2009
Humboldt-Universität zu Berlin
PhD in Physics, MR Elastography · Physics · Berlin, Germany
Oct 2002 - Jun 2003
University of Hamburg
Diploma in Theoretical Physics, Theoretical condensed matter physics · Theoretical Physics · Hamburg, Germany
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