Tag: machine learning
ComputeFest 2018
ComputeFest Sponsored by the Institute for Applied Computational Science at the Harvard John A. Paulson School of Engineering and Applied Sciences Annual Symposium on the Future of Computation in Science … Continue reading “ComputeFest 2018”
Harvard Catalyst: Upcoming Short Course
Machine Learning and Bayesian Approaches for Data Science in Medicine January 18 | 11:00am-5:30pm Kresge G1 | Harvard T.H. Chan School of Public Health Sherri Rose, PhD Associate Professor, Harvard Medical … Continue reading “Harvard Catalyst: Upcoming Short Course”
Seminar with Rajarshi Mukherjee – 1/18
INFERENCE IN OBSERVATIONAL STUDIES Research activities in observational studies has seen a recent surge owing to multiple factors. Among others, these factors include with our ability and need to collect … Continue reading “Seminar with Rajarshi Mukherjee – 1/18”
DBMI Open Insights Seminar – 12/14
Thursday, December 14 12:30pm Room 403 (4th Floor) Countway Library, HMS Mauricio Santillana, Ph.D. Assistant Professor HMS and Boston Children’s Hospital Machine Learning Approaches for Early Detection of Events in … Continue reading “DBMI Open Insights Seminar – 12/14”
Introducing New Doctoral Students
We’re continuing to feature our 1st year doctoral students! We hope everyone is able to get to know this talented and diverse new group of students. Jane Liang I am from … Continue reading “Introducing New Doctoral Students”
Harvard Catalyst Events: Save the Date!
Machine Learning and Bayesian Approaches for Data Science in Medicine Sherri Rose, PhD Associate Professor, Harvard Medical School Laura Hatfield, PhD Associate Professor, Harvard Medical School 1 DAY SHORT COURSE: … Continue reading “Harvard Catalyst Events: Save the Date!”
B3D Big Data Series: Opening Seminar 9/18
Monday, September 18, 2017 1:15-2:15 PM Minot Room, 5th Floor Countway Library, HMS B3D Website Jennifer Listgarten Senior Researcher Microsoft Research New England From Genetics to CRISPR Gene Editing with … Continue reading “B3D Big Data Series: Opening Seminar 9/18”