Data Dialogues
The Indian populace is expected to have a 60+ demographic of nearly 300 Million in the next decade or so, and faces a growing dementia epidemic amid large gaps in healthcare infrastructure, awareness, early detection, trained personnel and public health support. Varied ethnicity combines with risk factors and co-morbidities such as metabolic and cardiovascular conditions. The Centre for Brain Research (CBR) is engaged in an effort to identify a set of biomarkers relevant to India to aid the advance detection and prediction of the pre-dementia stage of Mild Cognitive Impairment. This necessitates a strong computational component based on multimodal data and algorithmic advances in statistics, ML/AI, and signal processing. This talk will provide an overview of the ongoing work at CBR in the areas of data and AI.
Srinivas R. Kadaba is Head of Data and AI Platform at the Centre for Brain Research since 2024. He leads multidisciplinary work in the areas of data infrastructure, data science, and algorithms towards contributing to the understanding of neurodegeneration in the aging brain. Prior to CBR, he held R&D positions at Lucent Technologies Bell Laboratories, Ericsson Silicon Valley, AI-focused startups in language translation and financial information, and Oracle, working on both systems and algorithms for signal processing, communications, networking, cloud technologies, and ML/AI.
