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Deep Learning from Historical and Epidemiological Data

Date and Time: 
Thursday, February 22, 2018. 05:00 PM - 06:30 PM
Meeting Location: 
Stanford Archaeology Center
Workshop: 
Archaeology--Political Landscapes: Past and Present
Meeting Description: 

Deep learning may be applied to integrate historical, ecological, and epidemiological data to develop novel methodologies in archeological research. Astounding computational resources are becoming available to “learn” from the data. 

Interdisciplinary expertise proposes inter-connections between locations, records, climate, and populations. From this emerge new ways to assess and understand archeological data. They are relevant in a global context and apply to contemporary problems in the disease and epidemiology. One goal has been to develop better predictors of disease outbreaks. In archaeology this may enable us to search for “outbreak” events using archeological data. In fact, deep learning may be trainable to for retrospective analysis. 

Complex datasets challenge traditional epidemiological or ecological models. With Professor Krish Seetah, we have explored combining historical records, ecological indicators of climate, satellite weather data, census data, and population studies to provide nuanced analysis of outbreaks of disease over time. 

This presentation will explore different data sets – including data from the field, regional assessment, and data obtained from satellites and global repositories. How do they intersect? How are they connected? What is the predictive power and integrity?

Jochen Kumm is a mathematician and biologist with a passion for systems biology. Active in genomics and microbiome interpretation he builds tools that analyze complex data involving epidemiology, genomics, natural language, and climate. Educated at Harvard University and Stanford University, he worked at the UW Genome Center before joining Roche Pharmaceuticals. He led biomathematics at the Stanford Genome Technology Center for a decade. Most recently, he worked in Africa for the International Livestock Research Institute, CORDIO, and IBM Research Africa developing healthcare and agri-genomics solutions. He is a sequential founder of start-ups that operate in Europe, North America, and Asia.

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