Data analysis and modeling approaches can facilitate our understanding of biological processes.
Sarah Strauß
Sarah is a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and the Graduate Training Centre of Neuroscience. In her work she uses data analysis and different modeling approaches to identify and explain the functionality of inhibitory neurons in the mouse retina. For this, she collaborates with experimentalists and focuses on how the retina processes motion and color.
Data analysis and modeling approaches can facilitate our understanding of biological processes.
Present Positions And Title
Alumni-PhD student
Research Group
Career
| Period | Institution | Role |
|---|---|---|
| 2018 - 2024 | University of Tübingen, Berens lab | PhD student |
| 2018 | University of Tübingen, Euler lab | Lab rotation |
| 2017 | University of Tübingen, Münch lab | Essay rotation |
| 2016 | Research Center Caesar, Macke lab | Internship |
| 2015 | EPFL, Defitech Chair in Brain-Machine Interface | Internship |
Academic Education
| Year | Degree | Institution | Field of Study |
|---|---|---|---|
| 2016 - 2018 | M.Sc. | University of Tübingen | Neural Information Processing |
| 2010 - 2013 | B.Sc. | University of Cologne | Neuroscience |