Prithwish Chakraborty
Data Scientist, IBM Watson Health

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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.