Emily Webber

Emily Webber has a diverse work experience spanning over several industries. Emily currently works as the Director of Life Science Research Analytics at Truveta, where they create and delivers custom analyses for key research questions to help inform the national pandemic response. Emily also designs and enables customers to create novel inquiries regarding human health using Truveta data.

Prior to joining Truveta, Emily worked at DataRobot as a Senior Data Scientist, where they built and delivered predictive models and insights to state leadership. Emily also worked with customers to identify pain points and designed custom machine learning solutions, including a time series COVID-19 hospitalization model.

Before DataRobot, Emily held various roles as a Solutions Data Scientist and Customer Facing Data Scientist, where they worked with key stakeholders in the department of Health and Human Services and the Centers for Disease Control regarding COVID-19 data. Emily led a portfolio of customers and effectively used automated machine learning in industries such as biomedical research, hospitals, non-profits, and government.

Emily also worked as a Data Science Content Creator at DataRobot, where they helped come up with a strategy and content to engage and teach junior data scientists about relevant topics in the field. Their courses and exercises received significant engagement and were highly visited.

Prior to their roles at DataRobot, Emily worked as an Assistant Director of Prospect Management and Analytics at OHSU Foundation. Emily created ensemble predictive models to predict rare event targets and conducted comprehensive analyses on Foundation performance and operations.

Emily's earlier work experience includes a postdoctoral fellowship at the National Institutes of Health (NIDDK/DEOB), where they collected, analyzed, and interpreted scientific data to investigate hunger generation in the brain. Emily also conducted experiments using optogenetics to control neural activity in live-behaving animals.

Emily's career also includes a graduate research assistant role at Bowling Green State University, where they collected and analyzed scientific data to understand how the brain compares the value of rewards. Emily also served as a graduate teaching assistant, teaching students how to conduct behavioral experiments using live rats.

Emily Webber's education history includes a Doctor of Philosophy (Ph.D.) in Neuroscience from Bowling Green State University, which they obtained from 2010 to 2013. Prior to that, they earned a Master of Arts (M.A.) in Neuroscience from the same university from 2007 to 2010. Emily also holds a Bachelor of Arts (B.A.) in Psychology from Cleveland State University, where they studied from 2002 to 2006.

In addition to their formal education, Emily has obtained several certifications. Some of these certifications include "DataRobot Time Series" from DataRobot in September 2019, "Advanced DataRobot with Python" from DataRobot in July 2019, "PYTHON FOR DATA SCIENCE: FUNDAMENTALS" from Dataquest in July 2019, "DataRobot Essentials" from DataRobot in June 2019, "Introduction to Python" from DataCamp in October 2018, "IBM: Open Source tools for Data Science" from Coursera in September 2018, and "IBM: What is Data Science?" from Coursera in August 2018. Other certifications include "Reporting wtih RMarkdown" from DataCamp in August 2017 and "Scientist Teaching Science" obtained in July 2014. Emily has also obtained various certifications related to data analysis and data manipulation in R and Python, as well as courses on data visualization, importing data, statistics, machine learning, and SQL from DataCamp.