Mental health disorders like addiction intrigue me because they are so heterogeneous and complex, and there is so much we still do not know.
Shreyash Garg
Shreyash is interested in understanding psychiatric disorders by leveraging machine learning methods to integrate data from various modalities. These modalities include structural and functional neuroimaging data, psychological assessments, ecological momentary assessments, and socio-demographic data. He is currently part of the TRR265 research consortium focused on substance use disorders (SUDs). The main objective of this consortium is “Losing and regaining control over drug intake” (ReCoDe).
Mental health disorders like addiction intrigue me because they are so heterogeneous and complex, and there is so much we still do not know.
Present Positions And Title
Research Associate
Research Groups
Email Address
Career
| Period | Institution | Role |
|---|---|---|
| Since 2024 | University of Tübingen | PhD student |
| 2023 | Klinik für Psychiatrie und Psychotherapie, Charité, Berlin | PhD student |
Academic Education
| Year | Degree | Institution | Field of Study |
|---|---|---|---|
| 2020 - 2023 | M.Sc. | University of Freiburg | Neuroscience (Focus: Computational neuroscience) |
| 2016 - 2018 | M.Sc. | NIT Surat, India | Physics |
| 2013 - 2016 | B.Sc. | NIT Surat, India | Physics |