Danielle Belgrave and Niranjani Prasad talk at the NYU Tandon ECE Seminar Series on Modern AI: NEXT WEEK

[Anna Choromanska]

Dear All,

Reminder: 

The second set of speakers for the NYU Tandon ECE Seminar Series on Modern AI is Danielle Belgrave and Niranjani Prasad. They will both share the stage and speak on the 10th of March at 10.30 am (next week!). Connect to the talk via the zoom:

https://nyu.zoom.us/j/91350547271

The details of the event are provided below as well as on this website: 

https://engineering.nyu.edu/events/2021/03/10/machine-learning-personalised-healthcare-opportunities-challenges-and-insights. 

NYU Tandon is looking forward to seeing you all!!!

Regards,

Department of Electrical and Computer Engineering

Machine Learning for Personalised Healthcare: Opportunities, Challenges and Insights

Danielle Belgrave Machine learning researcher in the Healthcare Intelligence group at Microsoft Research Cambridge Dr. Danielle Belgrave is a machine learning researcher in the Healthcare Intelligence group at Microsoft Research, in Cambridge (UK) where she works on Project Talia.  Her research focuses on integrating medical domain knowledge, probabilistic graphical modelling and causal modelling frameworks to help develop personalized treatment and intervention strategies for mental health. Mental health presents one of the most challenging and under-investigated domains of machine learning research. In Project Talia, they explore how a human-centric approach to machine learning can meaningfully assist in the detection, diagnosis, monitoring, and treatment of mental health problems. She obtained a BSc in Mathematics and Statistics from London School of Economics, an MSc in Statistics from University College London and a Ph.D. in the area of machine learning in health applications from the University of Manchester. Prior to joining Microsoft, she was a tenured Research Fellow at Imperial College London.

Niranjani Prasad Senior researcher in the Healthcare Intelligence group at Microsoft Research Cambridge Dr. Niranjani Prasad is a senior researcher in the Health Intelligence team at Microsoft Research Cambridge, developing methods to guide personalized interventions in online mental health services. Her research draws on machine learning frameworks for automated decision support such as reinforcement learning and causal inference. She obtained her undergraduate degree (BA,MEng) in Information and Computer Engineering from the University of Cambridge. Prior to joining Microsoft, she completed her Ph.D. in Computer Science at Princeton University, advised by Professor Barbara Engelhardt, where her work centred on clinician-in-loop sequential decision-making in the critical care setting.

Machine Learning for Personalised Healthcare: Opportunities, Challenges and Insights   Machine learning advances are opening new routes to more precise healthcare, from the discovery of disease subtypes for stratified interventions to the development of tailored sequences of interaction. These methods offer an exciting opportunity to have a meaningful impact on the delivery of healthcare. In this talk, we will present some of the inroads of machine learning for understanding and learning personalised interventions. Taking examples from mental health, respiratory disease and critical care settings, we present some of the opportunities and inherent challenges to leveraging machine learning in healthcare towards actionable insights. Time and Location March 10, 2021 10:30 am Zoom Contact: ece-anno...@nyu.edu   Zoom Link

This event is free and open to the public. The Seminar Series in Modern Artificial Intelligence is held at NYU Tandon School of Engineering and is hosted by the Department of Electrical and Computer Engineering. Organized by Professor Anna Choromanska, the series aims to bring together faculty and students to discuss the most important research trends in the world of AI. The speakers include world-renowned experts whose research is making an immense impact on the development of new machine learning techniques and technologies and helping to build a better, smarter, more-connected world.

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--

Anna Choromanska

Assistant Professor

Alfred P. Sloan Fellow

Department of Electrical and Computer Engineering

NYU Tandon School of Engineering

New York University

Room 802

370 Jay Street

New York, NY 11201, USA

Office phone: 646.997.0269

ac5455 at nyu dot edu

achoroma at gmail dot com

https://engineering.nyu.edu/faculty/anna-choromanska