Lecture/Talk

Data Dialogue: NRG Home Data Science and Analytics

Friday, September 3, 2021
12:00 p.m.
To join please click: https://duke.zoom.us/j/99086728659
Speaker: David Decker
Title: NRG Home Data Science and Analytics
Bio: Dave Decker is the Director of Data Science and Analytics for NRG Home, where he leads a team of about 30 data scientists and software engineers with a focus on marketing and customer experience for retail electricity and adjacent home services.

Data Dialogue: NRG Home Data Science and Analytics

Friday, September 3, 2021
11:00 a.m.
To join please click: https://duke.zoom.us/j/99086728659
Speaker: David Decker
Title: NRG Home Data Science and Analytics
Bio: Dave Decker is the Director of Data Science and Analytics for NRG Home, where he leads a team of about 30 data scientists and software engineers with a focus on marketing and customer experience for retail electricity and adjacent home services.

Regenerative Superfoods & the Amazon Bio-Economy

Please join us as Duke Brazil presents Regenerative Superfoods & the Amazon Bio-Economy with speaker Derek Gallo AB'98, CEO Awi Superfoods.

Awi Superfoods is a "food-for-good tech" with a mission to catalyze the Amazon bioeconomy through regenerative agroforestry and superfoods. The premise of this innovative project, originating from Marajó Island, Brazil, is that conscious eating is the first step towards a healthier life for you, society, and the planet. Q&A to follow presentation. Registration required

TIME: 5:30 ET/ 6:30 Sao Paulo Time

Innovation Inside Haier: Driving Innovation From Within

Chinese firms like Haier are reinventing and innovating their business models, their corporate cultures, and themselves, becoming global competitors who increasingly offer knowledge rather than cheap labour in their quest to join the ranks of the "world's best" companies. This presentation by Dr. William Fischer (Senior Lecturer of Operations Management, MIT Sloan School of Management) offers a profile of one of China's most ambitious competitors-the world's largest manufacturer of home appliances.

GCB Academy: Fundamentals of Mass Spectrometry for Proteomics and Metabolomics Part III

Liquid chromatography coupled with tandem mass spectrometry (LC/MS/MS) continues to be the key technology for the qualitative and quantitative analysis of peptides, proteins and metabolites for both basic and clinical research projects. This GCB Academy session is designed as an introduction for researchers needing to expand their knowledge of the use of LC/MS/MS-based methods for proteomics and metabolomics, and thus help researchers better understand how these technologies can help inform their research goals.

Fundamentals of Mass Spectrometry for Proteomics and Metabolomics Part II

Liquid chromatography coupled with tandem mass spectrometry (LC/MS/MS) continues to be the key technology for the qualitative and quantitative analysis of peptides, proteins and metabolites for both basic and clinical research projects. This GCB Academy session is designed as an introduction for researchers needing to expand their knowledge of the use of LC/MS/MS-based methods for proteomics and metabolomics, and thus help researchers better understand how these technologies can help inform their research goals.

Fundamentals of Mass Spectrometry for Proteomics and Metabolomics Part I

Liquid chromatography coupled with tandem mass spectrometry (LC/MS/MS) continues to be the key technology for the qualitative and quantitative analysis of peptides, proteins and metabolites for both basic and clinical research projects. This GCB Academy session is designed as an introduction for researchers needing to expand their knowledge of the use of LC/MS/MS-based methods for proteomics and metabolomics, and thus help researchers better understand how these technologies can help inform their research goals.

A Statistical and Computational Foundation for Tensor Learning

The analysis of tensor data has become an active research topic in data science recently. Many high-order datasets arising from a wide range of modern applications, such as genomics, material science, and neuroimaging analysis, requires modeling with high-dimensional tensors. Tensor methods also provide unique perspectives and solutions to many high-dimensional problems where the observations are not necessarily tensors. High-dimensional tensor problems possess distinct characteristics that pose unprecedented challenges.

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