Training
& Outreach

CPCP develops, conducts and evaluates training activities that reach a broad set of audiences whose education, research and practice can significantly benefit from having state-of-the-art knowledge about data science, predictive models for biomedicine, and computational phenotyping. These audiences include biomedical scientists, clinicians, data scientists, postdocs, graduate students, undergraduates, and the general public.

Upcoming Events

Oct 31, 2017

The Fairsquare Project: Countering Programs that Discriminate by Dr. Aws Albarghouthi

CPCP Privacy/Fairness Seminar

Oct 24, 2017

Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning for Healthcare by Dr. Rich Caruana

CPCP Privacy/Fairness Seminar

Sep 26, 2017

The Bounty of the Commons by Dr. Casey Greene

CPCP Privacy/Fairness Seminar

Jun 01, 2017

CPCP Third Annual Retreat

The day-long program will feature presentations about using Big Data to improve human health.

Apr 01, 2017

CPCP at UW-Madison Science Expeditions

Come explore how the CPCP is using Big Data to improve human health.

Nov 22, 2016

CPCP Seminar: Big Data in Behavioral Medicine by Dr. James Rehg

James Rehg on understanding and developing interventions for adverse health-related behaviors

Past Events

Oct 18, 2016

Big Privacy: Policy Meets Data Science Symposium

This symposium examined the legal, policy, and technical issues at the intersection of data privacy

Jun 30, 2016

CPCP Second Annual Retreat

A day-long retreat highlighting recent research in the CPCP

Apr 21, 2016

CPCP Seminar: Mining Structures from Massive Bio-Text Data: A Data-Driven Approach by Dr. Jiawei Han

Jiawei Han from the BD2K KnowEng Center-UIUC discussed mining structures from massive bio-text data

Nov 10, 2015

CPCP Seminar: Transforming Your Research with High-Throughput Computing by Lauren Michael

Lauren Michael from the CHTC discussed high-throughput computing approaches to Big Data

Oct 15, 2015

Big Privacy: Policy Meets Data Science Symposium

A symposium on the legal, policy, & technical issues at the intersection of privacy and data science

Jun 12, 2015

CPCP First Annual Retreat

May 06, 2015

Small Talks on Big Data

These talks are designed to demonstrate how Big Data is transforming the biomedical sciences.

Feb 12, 2015

CPCP Seminar: Towards Demystifying Big Data Technologies by Jignesh Patel

Jignesh Patel will evaluate software/computing platforms used to process large complex data sets

Staff

Whitney Sweeney

Debora Treu

Deborah Muganda-Rippchen

Training Resources

CPCP Seminar: Friends Don't Let Friends Use Black-Box Models: The Importance of Intelligibility in Machine Learning for Healthcare Seminar Video

Talk by Rich Caruana PhD, Microsoft Research

CPCP Seminar: The Bounty of the Commons Seminar Video

Casey Greene, PhD University of Pennsylvania Abstract: This is an exciting time in biomedical data science. It is now possible to collect substantial information about individuals and their encounters with health care. Our ultimate goal is to integrate this data, along with data and findings from those engaged in basic science, to identify new opportunities to improve health. Broad data sharing will further our progress towards this goal. However, data sharing poses both cultural and technological challenges. I'll discuss our work to address technical issues, including analysis approaches that lift techniques from the field of software engineering and data sharing approaches that employ deep generative neural networks. I'll also touch on our work to shift cultures, including the research parasite and research symbiont awards (applications for each due Sept 30!).

CPCP 2017 Retreat: Phenotype Models for Breast Cancer Screening Symposium Video

Talk by Beth Burnside and Ming Yuan

CPCP 2017 Retreat: Entity Matching Using Magellan - Matching Drug Reference Tables Symposium Video

Talk by Peggy Peissig

CPCP 2017 Retreat: Improved Methods for Discovering Adverse Drug Events from EHR Data Symposium Video

Talk by David Page