Ramesh Raskar, PhD;
Associate Professor
Head of the MIT Lab’s Camera Culture Research Group
Massachusetts Institute of Technology

Abstract:
A new class of digital health platforms and a data-transparent health ecosystem can provide tremendous cost, efficacy and health benefits to the society by enabling informatics-powered actionable foresights. The presentation covers research from patient-scale
to population-scale in all 3 domains, physical: diagnostic devices and
imaging, computational: automated and private machine learning and health markets, and global: social networks, environmental sensors and geospatial analysis. At the physical level, ubiquity of devices can transform the continuous, proactive data driven health solutions. At the computational level, the next generation of ‘decentralized informatics’ can tackle the false dichotomy between data utility and data confidentiality and overcome the data silos. At the global level, the world-scale approach can help us enhance EHR, learning systems and population studies to a dynamic health grid and a health OS.

Bio:
Ramesh Raskar is an Associate Professor at MIT Media Lab and directs the Camera Culture research group. His focus is on AI and Imaging for health and sustainability. They span research in physical (e.g., sensors, health-tech), digital (e.g., automated and privacy-aware machine learning) and global (e.g., geomaps, autonomous mobility) domains. He received the Lemelson Award(2016), ACM SIGGRAPH Achievement Award (2017), DARPA Young Faculty Award (2009), Alfred P. Sloan Research Fellowship (2009), TR100 Award from MIT Technology Review (2004) and Global Indus Technovator Award (2003). He has worked on special research projects at Google [X] and Facebook and co-founded/advised several companies.