I am interested in the fundamental principles of neural coding in larger networks and neural populations.
Lisa Schmors
Lisa Schmors 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 an IMPRS-IS scholar , interested in computational neuroscience and statistical modelling. In her work, she uses statistical models to investigate cortico-thalamic feedback to contribute to a general computational model of visual processing in the mammalian brain. In addition, she utilizes clustering algorithms to identify different cell types in the lateral habenula, analyzing functional and morphological data.
I am interested in the fundamental principles of neural coding in larger networks and neural populations.
Present Positions And Title
Ph.D. Student
Research Group
Email Address
Phone
Career
| Period | Institution | Role |
|---|---|---|
| Since 2019 | University of Tübingen & IMPRS-IS | Ph.D. Student |
| Oct. 2017 - Dec. 2017 | University of Waterloo | Internship Student |
| Jul. 2017 - Sept. 2017 | University of Copenhagen | Internship Student |
| Sept. 2016 - Mar. 2017 | University of Birmingham | Internship Student |
Academic Education
| Year | Degree | Institution | Field of Study |
|---|---|---|---|
| 2016 - 2019 | M.Sc. | University of Oldenburg | Neuroscience |
| 2013 - 2016 | B.Sc. | Free University Berlin | Biology |