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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY
Prithwish Chakraborty

Prithwish Chakraborty
Data Scientist, IBM Watson Health


Prithwish Chakraborty is a data scientist on the IBM Watson for Real World Evidence team at IBM Watson Health. His work focuses on applications of data science towards patient health characterization and risk modeling. Broadly, his research interests are temporal data mining, machine learning, and image recognition. His work has been published in key data science venues, including KDD, SDM, and AAAI, and he presented a tutorial on public health forecasting in AAAI 2016 and gave an invited talk at BCDE 2014. Prithwish holds a patent with HP labs on forecasting solar photovoltaic output. He holds a PhD in computer science from Virginia Tech, where his research, under the guidance of Naren Ramakrishnan, focused on the applications of data science to public health forecasting.


11:55am–12:35pm Thursday, August 24, 2017
Development and community
Location: Sutton Center/Sutton South Level: Beginner
David Taieb (IBM), Prithwish Chakraborty (IBM Watson Health), Faisal Farooq (IBM Watson Health)
Average rating: *****
(5.00, 1 rating)
David Taieb, Prithwish Chakraborty, and Faisal Farooq offer an overview of PixieDust, a new open source library that speeds data exploration with interactive autovisualizations that make creating charts easy and fun. Read more.