Medicine is multimodal, messy, and high-stakes — and I ask one question of every AI system I build: will this work in a real clinical setting?
Meghal Dani
Meghal Dani is a Ph.D. student in Computer Science at the International Max Planck Research School for Intelligent Systems (IMPRS-IS), University of Tübingen, Germany. She is working at the Tübingen AI Center and the Hertie AI institute, advised by Dr. Stefanie Liebe. Following her Bachelor's in Computer Science and Master's in Computational Biology, she worked in industry for two years on medical imaging and 3D vision. Her current research focuses on understanding and adapting foundation models — vision, language, and vision-language — for safe AI in healthcare, with a focus on epilepsy.
Medicine is multimodal, messy, and high-stakes — and I ask one question of every AI system I build: will this work in a real clinical setting?
Present Positions And Title
PhD Student
Research Group
Email Address
Career
| Period | Institution | Role |
|---|---|---|
| Since 2022 | Hertie Institute for AI in Brain Health, University of Tübingen | PhD Student |
| 2019-2021 | TCS Research and Innovation Labs | Researcher – Deep Learning and AI |
| 2018-2019 | Image Analysis and Biometrics Lab – IIT Jodhpur | Graduate Student Researcher |
Academic Education
| Year | Degree | Institution | Field of Study |
|---|---|---|---|
| Since 2022 | PhD | University of Tübingen | Computer Science |
| 2019 | MTech | IIIT Delhi | Computational Biology |
| 2016 | BE | BIT Mesra | Computer Science |