A short documenrary on our work in collaboration with the Google Cloud team :
Dr. Nemati delivered an invited talk at the IEEE Signal Processing Chapter of Atlanta, titled: "From Prediction of Life Threatening Events to Optimization of Treatment Strategies: An Overture to a Continuously Learning Healthcare System”
Dr. Nemati was awarded and NIH Data Commons Pilot grant for his proposal to implement a Cloud-based FHIR-enabled Deep Learning platform for early prediction of sepsis. The NIH Commons is a program dedicated to providing access to scalable storage and computation capabilities to support NIH-funded research programs. It also encourages the sharing of digital objects resulting from NIH research including data, metadata, software, workflows, and other electronic artifacts.
October: Dr. Nemati was selected among the Top 2% faculty of Emory School of Medicine @ the 2016 Researcher Appreciation Day. A great honor!
June: Congratulations to Sahar Harati for winning a travel grant to attend the KDD 2016 conference. Thanks to the generosity of ACM SIGKDD and NSF.
October 1: I am honored to be a recipient of NIH Mentored Career Development Award (K01) in biomedical big data science (FOA: HG14-007) to develop advanced analytic techniques for prediction of adverse events in the ICU.
September 21: Great meeting at the Oxford "Machine Learning in Healthcare" Symposium. Videos of the event including my talk are available here: https://tv.theiet.org/Index.html?videoid=7477
June 25: I gave a talk at the Georgia Tech/Emory Neuromodulation and Technology Innovation Center (ENTICe), titled "Learning Representations for Improved Control."
May 16: I delivered a lecture at the Emory BMI Academic Exchange, titled "Big Data and Deep Learning for Sequential Decision Making in Medicine."
April 01: Very delighted to join the Emory School of Medicine as an Assistant Professor of Biomedical Informatics (BMI).
December 12: I will be presenting my work on "Supervised Learning in Dynamic Bayesian Networks" at the NIPS Workshop on Deep Learning and Representation Learning: http://nips.cc/Conferences/2014/Program/event.php?ID=4294
December 2: I delivered an invited talk at the Emory University, Department of Biomedical Informatics, titled: "From Reaction to Prediction: Deep Learning and Streaming Analytics for Prediction of Adverse Events in Critical Care."
May: I presented my work on Machine Learning & Bedside Analytics at the 2014 James S. McDonnell Complex Systems Scholars & Postdoc Conference.
March: Presented at the Harvard Radcliffe Exploratory Seminar “Moving from Reaction to Prediction: Leveraging High Speed Data Recording and Advanced Computational Tools for Prediction Sedation-Related Adverse Events in Children.” Organized by Drs. B. Krauss (HMS) and G. Verghese (MIT).
November: Had a great meeting at the NIPS Workshop on Machine Learning for Clinical Data Analysis and Healthcare at Lake Tahoe, Nevada.
July: Presented at the workshop on statistical analysis of neurophysiological and clinical data in Kyoto, Japan. Presentation title: "Outcome-Discriminative Learning in Switching Linear Dynamical Systems: Applications to Neural Decoding."
I have been selected among the lucky-10 recipients of this year's James S. McDonnell Postdoctoral Fellowship in Studying Complex Systems!