AGENDA (Virtual, 8-9 Oct. 2020)

All times are Central Standard Times (Central + 1 hour = Eastern; Central - 2 hours = Pacific)

Click on picture for short bio and abstract.

DAY 1 (Thursday, Oct. 8, 2020)

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7:00-8:30 AM

WEBINAR ESSENTIALS & TECH HELP

Our Technical Team will walk you through the essentials of presentations, Q&As, and Network Time

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8:30-8:45 AM

Opening Statement

Michael Tsiappoutas, Conference Chair

8:45-9:30 AM

Doing Good with Data: Fairly and Equitably

Rayid Ghani, Professor, Carnegie Mellon University (Machine Learning & Public Policy) Data Science/AI/ML for Social Good

9:30-10:30 AM

Designing for Human-Centered AI

James Guszcza, Fellow at the Center for Advanced Study in the Behavioral Sciences [CASBS] at Stanford

10:30-10:50 AM

BREAK + EXTENDED Q&A

Chat with previous speakers, ask questions!

10:50-11:10 AM

Connecting Data Science to Business Problems 

Colin Shevlin, Special Projects Analyst (Statistician) at US Census Bureau

11:10-11:30 AM

BREAK + EXTENDED Q&A

Chat with previous speakers, ask questions!

11:30-12:00 PM

Managing the Lyft Marketplace with a Strategic Pricing Platform

Ashivni Shekhawat, Lead Research Scientist at Lyft

12:00-1:00 PM

NETWORK LUNCH

Network with other attendees, speaker, and board members in a separate meeting room where you can use your microphone and video.

1:00-2:00 PM

DISCUSSION PANEL

Ask questions to generate discussion among select panelists!

2:00-2:30 PM

Kickstart your career in data science

Anagha Joshi, Data Analyst at Google

2:30-2:50 PM

WiMLDS & R-Ladies: Global Communities of Women in Machine Learning & Data science

Erin LeDell, Founder of Women in Machine Learning & Data Science (WiMLDS) & Chief Machine Learning Scientist at H2O.ai

2:50-3:10 AM

BREAK + EXTENDED Q&A

Chat with previous speakers, ask questions!

3:10-3:30 PM

Telling stories with Data

Gulrez Khan, Senior Data Scientist at Microsoft

3:30-3:50 PM

Label-similarity Curriculum Learning for Image Classification

Aniket Deshmukh, Data and Applied Scientist at Microsoft AI and Research

3:50-4:30 PM

AFTER-CONFERENCE NETWORK TIME

Network with peers, speakers, and advisory board members!

 

DAY 2 (Friday, Oct. 9, 2020)

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7:00-8:30 AM

WEBINAR ESSENTIALS & TECH HELP

Our Technical Team will walk you through the essentials of presentations, Q&As, and Network Time

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8:30-9:00 AM

Creating a Data Science Community of Practice 

Sheri Marshall, Head of Global Analytics Capability Development at General Motors

9:00-9:30 AM

The Data Sharing Landscape for COVID-19 and the Data Science that it Supports: Challenges and Opportunities

Robert Grossman, Partner, Analytic Strategy Partners and Director, Center for Translational Data Science, Univ. of Chicago

9:30-10:00 AM

Harnessing Data to be a Catalyst for Business Growth & Transformation

Guy Peri, Vice President, Chief Data & Analytics Officer, Information Technology at Procter & Gamble

10:00-10:20 AM

BREAK + EXTENDED Q&A

Chat with previous speakers, ask questions!

10:20-10:50 AM

Visual Programming with PyWorkflow: A Web-Based Python IDE for Graphical Data Analysis

Peter Henstock, Harvard University ML and AI Lecturer & ML/AI Lead at Pfizer

10:50-11:10 AM

Modular Architecture with Human-in-the-Loop System for Cognitive Process Automation

Hyunsoo Jeong, Lead Data Scientist at Nasdaq

11:10-11:30 AM

BREAK + EXTENDED Q&A

Chat with previous speakers, ask questions!

11:30-12:00 PM

An Open-Source Tool for Exposing Systemic Inequality

Nicholas Pylypiw, Director of Data Science at Cape Fear Collective

12:00-1:00 PM

NETWORK LUNCH

Network with other attendees, speaker, and board members in a separate meeting room where you can use your microphone and video.

1:00-2:00 PM

DISCUSSION PANEL

Theme: "Women in Data Science"

Ask questions to generate discussion among select panelists!

2:00-2:30 PM

Data Science For Social Good Foundation--an Overview

Paul van der Boor, Board Member of the 'Data Science for Social Good Foundation' in collaboration with Carnegie Mellon Univ.

2:30-2:50 PM

Data Science for Social Justice

Sydeaka Watson, Founder and Owner of Korelasi Data Insights, LLC

2:50-3:10 PM

BREAK + EXTENDED Q&A

Chat with previous speakers, ask questions!

3:10-3:30 PM

Recommendation in a Two-sided Travel Marketplace

Liang Wu, Machine Learning Data Scientist at Airbnb

3:30-3:50 PM

Data Science in optimizing acquisition channels

Jeremy Gu, Data Science Manager at Stitch Fix

3:50-4:30 PM

AFTER-CONFERENCE NETWORK TIME

Network with peers, speakers, and advisory board members!

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