Temple University’s Fox School of Business and Wells Fargo Equity Finance hosted the inaugural Data Science Conference in November 2020. Faculty from leading universities participated in a series of panels exploring technical issues relevant to today’s unprecedented environment. The conference explored aspects of statistical machine learning, deep learning and AI with an emphasis on tools and ideas that are relevant to systematic investing methodologies.


Thursday, November 19, 2020 Agenda

11:00 am – 12:30 pm EDT

In these unprecedented times quantitative investors are asking what data are available for tracking the spread and impact of COVID-19, from different sources, issues about data curation and reliability, and issues that arise when developing meta-analysis of data from different sources for the purposes of forecasting and of identifying causal relations.

12:30 pm – 2:00 pm EDT

In Tech, Finance, and Big Pharma alike, techniques from machine learning, to artificial intelligence, to data science, promise to revolutionize how operations are run, forecasts are made, and vaccines discovered. Several CEOs have been warning the public about AI taking over the world. Despite all the hype, real results have been lagging. This panel will discuss a realistic role for techniques from machine learning to data science, and what we can expect they will bring in the near and distant future.

2:00 pm – 3:30 pm EDT

A review of statistical and machine learning ideas and methodologies that promise to impact the practice of systematic investing.


Content Library


Ronald Anderson
Fox School of Business, Temple University

Edoardo M. Airoldi
Fox School of Business, Temple University

Emmanuel Candes
Professor of Mathematics and Statistics, and The Barnum-Simons Chair in Mathematics and Statistics
Stanford University

Nicholas Christakis
Sterling Professor of Social and Natural Science, Internal Medicine & Biomedical Engineering
Yale University

David Donoho
Professor of Statistics, and Anne T. and Robert M. Bass Professor of Humanities and Sciences
Stanford University

Michael Jordan
Professor of Statistics and Computer Science, and Pehong Chen Distinguished Professor
UC Berkeley

Michael Kohler
Professor at the Department of Mathematics
Technical University of Darmstadt

John Leone
Wells Fargo Equity Finance

Jun Liu
Professor of Statistics
Harvard University

David Madigan
Provost and Professor of Statistics
Northeastern University

Donald Rubin
Professor of Statistics, Temple University, and Emeritus Professor of Statistics at Harvard University
Temple University and Harvard University

Panos Toulis
Assistant Professor of Statistics
University of Chicago Booth

Bin Yu
Professor of Statistics and Chancellor’s Distinguished Professor
UC Berkeley