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Multi-Phenotype Analysis in Human Genetic Studies

January 10, 2022

Speakers:

Hugues Aschard

During the past 15 years genome-wide association studies (GWAS) have been conducted on thousands of human phenotypes, providing an overview of the

Some Insights from Doubly Infinite Neural Networks

December 9, 2021

Speakers:

Soufiane Hayou, National University of Singapore

The theoretical analysis of infinite-width neural networks has led to many interesting practical results (choice of initialization schemes, choice

When Geometry and Statistics Meet Cosmology: the Challenge of Detecting Cosmic Webs.

December 13, 2021

Speakers:

Yen-Chi Chen

Matter in our Universe tends to aggregate around lower-dimension structures, weaving our Universe into a web-like structure known as the cosmic web

The Rigorous and Human Life of Data

December 6, 2021

Speakers:

Cecilia Aragon

Very often, the words “rigorous” and “human-centered” have been used as opposites in technical fields, with the implication that a focus on human a

Policy Questions, Messy Data: Three Approaches to Turning Messy Data Into Information for Public Policy

November 29, 2021

Speakers:

Krista Gile

This talk describes 3 projects demonstrating the development of statistical methods to use messy data on people to draw conclusions for public heal

A Modern Take on Huber Regression

December 2, 2021

Speakers:

Po-Ling Loh, University of Cambridge

In the first part of the talk, we discuss the use of a penalized Huber M-estimator for high-dimensional linear regression.

Diffusion Schrödinger Bridges with Applications to Score-Based Generative Modelling

November 25, 2021

Speakers:

Arnaud Doucet, University of Oxford

Progressively applying Gaussian noise transforms complex data distributions to approximately Gaussian.

Designing Creative Courses with Students in Mind

November 22, 2021

Speakers:

Sarah Mayes-Tang

The students that we teach have far different needs than they did when most of our traditional math and statistics courses were initially added to

Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier

November 15, 2021

Speakers:

Munmun De Choudhury

Social media data is being increasingly used to computationally learn about and infer the mental health states of individuals and populations.

PDA: A New Framework of Privacy-Preserving Distributed Algorithms and Inference

November 11, 2021

Speakers:

Yong Chen, University of Pennsylvania

With the increasing availability of electronic health records (EHR) data, it is important to effectively integrate evidence from multiple data sour

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