Keep up with the happenings at Penn State CHOT by reading our most recent newsletter.
Nilam Ram Announced as Penn State CHOT Co-PI
Nilam Ram, Associate Professor of Human Development and Psychology has accepted the role as Co-Principal Investigator for Penn State CHOT. The Co-Principal Investigator is recognized as a colleague who is making a significant contribution to CHOT. The Co-PI shares with the PI the responsibility for the conduct of Penn State CHOT research projects.
Ram was the recipient of the 2016 Penn State Graduate Faculty Teaching Award and is director of QuantDev, a core of methodologists and data analysts who bring together a wide range of university talent to develop and support innovations in data collection and analysis in the social sciences at Penn State. This new partnership expands the ways CHOT contributes to advancements in knowledge.
Read the Penn State CHOT January 2017 Newsletter!
Keep up with the happenings at Penn State CHOT by reading our most recent newsletter.
The Penn State CHOT NVIDIA DGX-1 Supercomputer is here!
CHOT at Penn State is thrilled to announce the arrival of the NVIDIA DGX-1 Supercomputer. This powerful system will be used for healthcare data analytics, image processing and other computationally-intensive aspects related to CHOT research.
The NVIDIA DGX-1 is the world’s first purpose-built system for deep learning, delivering performance equal to 250 conventional servers. Users can immediately shorten data processing time, visualize more data, accelerate deep learning frameworks, and design more sophisticated neural networks. At Penn State CHOT we are excited about the possibilities for more innovative research as a result of this supercomputer’s computing capacity.
To learn more about this exciting machine, visit the NVIDIA website: http://www.nvidia.com/object/deep-learning-system.html
CHOT Collaborator’s Article Accepted for Publication
UNIVERSITY PARK, Pa. — Conrad Tucker, assistant professor of engineering design and industrial engineering, and director of the Penn State site of the Center for Health Organization Transformation, and Sunghoon Lim, Phd candidate in industrial engineering and CHOT scholar, recently had an article accepted for publication.
The collaborative work, “An unsupervised machine learning model for discovering latent infectious diseases using social media data” will be published in an upcoming issue of Elsevier’s Journal of Biomedical Informatics.
Tucker and Lim’s work on this research are part of Penn State CHOT’s strong history of working collaboratively across multiple units, engaging health care providers as partners in applied research, and working closely with students to address research needs of the relevant industry partners.
To view more of the current research projects students and faculty are currently collaborating on within Penn State CHOT, visit here.
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