
To harness the power of AI in real world clinical situations, an explanation of their decisions is of utmost importance.
Indu Ilanchezian

Indu Ilanchezian is a Ph.D. 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. Her research objective is to develop interpretable deep learning models for clinical diagnostic applications in ophthalmology. Her research is particularly focused on inherently interpretable models and visual counterfactual explanations. Besides interpretability, she is interested in generative models, diffusion models and adversarially robust models.
To harness the power of AI in real world clinical situations, an explanation of their decisions is of utmost importance.
Present Positions And Title
PhD student
Research Group
Email Address
Phone
Career
Period | Institution | Role |
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Since 2019 | University of Tübingen, Germany | PhD student |
2018 - 2019 | SigTuple, IIIT-Bangalore | Research Assistant |
2018 | IIT Bangalore, India | Summer Intern |
2017 | Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland | Summer Intern |
Academic Education
Year | Dergree | Institution | Field of Study |
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2014 - 2019 | Integrated M. Tech. | International Institute of Information Technology (IIIT), Bangalore | Computer Science |