I joined the deep learning team at Bosch Center for Artificial Intelligence as a Research Scientist in September 2018. I have a keen interest in developing machine learning methods for multi-modality datasets that may differ in their intrinsic dimensionality and capture complementary properties of a common domain. At Bosch, my research work lies at the intersection of vision and language models for the purpose of generative modeling and semantic reasoning.
Before joining Bosch, I did my PhD research in machine learning and medical imaging at Werner Siemens Imaging Center and , Tübingen, Germany. My doctoral work focused on estimating spatio-temporal tissue heterogeneity within tumors using various machine learning techniques applied on multi-parametric Positron Emission Tomography and Magnetic Resonance Imaging datasets.