Visual Information Theory.

June 2020 Speaker Time Sponsor; Vincent Roulet ... Emma Pierson: Data Science Methods to Reduce Inequality and Improve Healthcare: Jan 10th, 2020 : Paromita Dubbey: Fréchet Change Point Detection: Taught in UW Human Well-Being seminar.

Previously, she completed a master’s degree in statistics at Oxford on a Rhodes Scholarship. [S1] Emma Pierson.PhDs without tears: how academics can help ease students’ minds. [S2] Emma Pierson.Hey, computer scientists!

She develops statistical and machine learning methods to study two deeply entwined problems: reducing inequality and improving healthcare.

S&DS|CS Joint Seminar, Emma Pierson Data science methods to reduce inequality and improve healthcare: Monday, October 6, 2014 - 4:15pm to 5:30pm Sham Kakade Statistical Estimation of Latent Variable Models via Tensor Decompositions: Monday, January 14, 2019 - 3:45pm to 5:00pm S&DS Statistics and Data Science Project Pitch

ZIFA.

2017.

MindCORE | 112 Leidy Labs, 3740 Hamilton Walk | pennmindcore@sas.upenn.edu | 215-573-1111 Citation.

The problem of Infra-marginality in Outcome Tests for Discrimination Camelia Simoiu, Sam Corbett-Davies, Sharad Goel.

Author Amanda King Posted on February 10, 2020 February 10, ... DBMI Open Insights, Department of Biomedical Informatics, Emma Pierson, Harvard Medical School, Iinequality, machine learning, racial inequality Posts navigation. The DBMI Open Insights Seminars are occasional research talks related to the mission of the Department of Biomedical Informatics. Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Bio: Emma Pierson is a PhD student in Computer Science at Stanford, supported by Hertz and NDSEG Fellowships. BIOSTATISTICS SEMINAR.

Check back for more! Candidate, Stanford University. [S3]Mary Nugent and Emma Pierson.Here’s what people say when they attack Hillary Clinton on Twitter. I will first discuss our work on “stochastic package queries” (SPQs), a framework for synthesizing data management systems, predictive models, and optimization tools to provide an end-to-end system for decision support in the face of uncertainty. This talk describes statistical analyses of racial inequality in two domains: policing and pain. [S3]Mary Nugent and Emma Pierson.Here’s what people say when they attack Hillary Clinton on Twitter. Previously, she completed a master’s degree in statistics at Oxford on a Rhodes Scholarship. 2016. FACULTY CANDIDATE . She develops statistical and machine learning methods to study two deeply entwined problems: reducing inequality and improving healthcare. Upcoming Seminars. Candidate in Computer Science at Stanford Inequality in criminal justice and healthcare Statistical analysis offers a powerful tool for quantifying and reducing social inequality.

NO SEMINAR: 01/06/2020: Risk Models with Polygenic Risk Scores: Alison Meisner, Johns Hopkins Bloomberg School of Public Health, Dept.

... Emma Pierson and Dario Amodei for taking time to give really incredibly detailed and extensive comments on this essay. Data Science Methods to Improve Healthcare and Reduce Inequality .

Emma Pierson is a PhD student in Computer Science in Jure Leskovec’s lab at Stanford, supported by Hertz and NDSEG Fellowships. I will describe how to use data science methods to understand and reduce inequality in public health and healthcare.

David Packard Building 350 Jane Stanford Way Stanford, CA 94305. The Washington Post, 2016. Senior Thesis Presentation. February.



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