Title TBC

Status: This talk is in preparation - details may change

For our next talk, in Machine Learning, we will be hearing from Dr Shishir Rao, Senior Research Scientist, Deep Medicine research group, NDWRH, University of Oxford. We’re delighted to host Shishir in what promises to be a great talk!

Date: Thursday 29 May
Time: 14:00 – 15:00
Talk title: TBC
Location: Seminar room 1

Bio
Bio: Dr Shishir Rao is a senior research scientist in the Deep Medicine research group led by Professor Kazem Rahimi focusing on developing and applying AI tools for understanding chronic diseases using multimodal healthcare data. Rao co-leads multiple AI projects in the research group focusing on perinatal risk assessment, musculoskeletal conditions, and heart failure. His research emphasises Transformer-based architectures for electronic health records (EHR) analysis, having pioneered the BEHRT model—the first Transformer for multimodal EHR. He also develops frameworks for causal inference with a focus on bridging advanced computational methods with practical clinical applications. He currently serves as AI methodological advisor for Heart, the BMJ family cardiology journal.
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All members of the University are welcome to join, please let reception at BDI know you’re here for the seminar and sign-in. We hope you can join us! As a reminder, the Machine Learning seminar is intended to increase interaction between individuals working in ML across Oxford. We encourage in-person attendance where possible. There is time for discussion over, tea, coffee and pastries after the talks.

Hybrid Option:
Please note that these meetings are closed meetings and only open to members of the University of Oxford to encourage sharing of new and unpublished data. Please respect our speakers and do not share the link with anyone outside of the university.

MS Teams:
Meeting ID: 366 526 840 766
Passcode: ih6Mt6VK
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