Virtual Conference
March 10 - 12, 2021
About
WiDS Pittsburgh @CMU was held for the first time in 2018
and had
nearly 150 local participants including students,
faculty,
companies, non-profits, and campus organizations. WiDS
is an
international conference primarily located in Stanford,
CA with
150+ satellite conferences across every continent except
Antarctica. In 2019, over 120,000 people attended the
conference
in person and via the livestream and Facebook Live. The
purpose
of WiDS is “to inspire and educate data scientists
worldwide,
regardless of gender, and support women in the field”;
the
conference features exclusively women speakers from
academia and
industry.
This year, WiDS Pittsburgh @CMU will be a virtual
conference
on March 10th to March 12th. Attendees will be able to
listen to and engage with data science leaders working
in related
fields on both industry and academic opportunities as
well as
submit resumes for potential opportunities with industry
sponsors.
Thanks to the generous support of our sponsors,
WiDS Pittsburgh @CMU is free for both students and
professionals.
The Pittsburgh City Council has declared Wednesday,
March
10th " Women
in Data Science Day" - come join us!
WiDS Pittsburgh @ CMU is an independent event that is organized by WiDS @CMU Committee as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work
Schedule
March 10-12, 2021
March 10
10:00am-11:00am EST: Technical Talks
- 10:00am: Kathryn Kuhn, Leader in McKinsey Digital and Analytics Practice
- 10:30am: Seema Lakdawala, Assistant Professor,
Department of Microbiology & Molecular Genetics,
University of Pittsburgh, "PHIGHT COVID"
11:00am-12:00pm EST: Data Science in Sports Analytics
- Sara Ziegler, Sports Editor, FiveThirtyEight
- Lauren (Poe) Parolin, Associate Sports Analytics Developer, ESPN
- Katerina Wu, Data Scientist, Hockey Operations, Pittsburgh Penguins
12:00pm-1:00pm EST: Data Science in Finance, co-hosted by MSCF
- Eleanor Drew, Global Head, Information Services Group, Institutional Clients Group, Citigroup
- Jennika Gold, Head of Fixed Income Data and Analytics, Morningstar
-
Anisha Krishnan, Head of Portfolio Analytics &
Modeling,
Corporate and Investment Banking,
Portfolio Management Americas, BNP Paribas
5:00pm-6:00pm EST: Data Science at General Motors: A Fireside Chat
March 11
10:00am-12:00pm EST: Technical Talks
- 10:00am: Sarita Mallinger, Senior Director, Digital
Marketing & Media,
Kimpton Hotels & Restaurants,
"The Day the Data Died" - 10:30am: Leila Wehbe, Assistant Professor, Machine
Learning Department, Neuroscience Institute,
Carnegie Mellon University - 11:00am: Nynke Niezink, Assistant Professor, Department
of Statistics & Data Science,
Carnegie Mellon University - 11:30am: Emma Slayton, Data Curation, Visualization, and
GIS Specialist,
Carnegie Mellon University
12:00pm-1:00pm EST: Data and International
Security,
co-hosted
by
CMU Women
in International Security
- Moderator: Madison Schramm, Postdoctoral Fellow, Institute for Politics and Strategy
- Allyson English, Senior Data Analyst, BlueLabs Analytics
- Raaga Kalva, Department of Defense Analyst
- Laila A Wahedi, Research Scientist, Facebook
5:00pm-6:00pm EST: Data Science at Duolingo: A Fireside Chat
- Erin Gustafson, Data Scientist
- Lucy Portnoff, Data Scientist
- Jenna Lake, Machine Learning Engineer
- Lauren Bilsky, Machine Learning Engineer
- Mert Abbasi, University Recruiter
March 12
Career Corner @WiDS: Come learn about data science opportunities with
10:00am-10:30am EST: Principal Financial [Link]
10:30am-11:00am EST: ThermoFisher Scientific [Link]
11:00am-11:30am EST: Reynolds American Inc [Link]
11:30am-12:00pm EST: Citi [Link]
12:00pm-12:30pm EST: General Motors [Link]
5:00pm-6:00pm EST: Social networking with CMU Women in
Statistics,
CMU Africa, and more!
Speakers
Lauren Bilsky
Machine Learning Engineer,
Duolingo
Eleanor Drew
Global Head,
Information Services Group,
Institutional Clients Group,
Citigroup
Allyson English
Senior Data Analyst,
BlueLabs Analytics
Jennika GoldHead of Fixed Income Data and
Analytics,
Morningstar
Erin Gustafson
Data Scientist,
Duolingo
Raaga Kalva
Department of Defense
Analyst
Anisha Krishnan
Head of Portfolio
Analytics & Modeling,
Corporate and Investment
Banking,
Portfolio
Management Americas,
BNP
Paribas
Kathryn Kuhn Leader in McKinsey Digital and Analytics Practice
Seema Lakdawala
Assistant Professor,
Department of Microbiology
& Molecular Genetics,
University of
Pittsburgh
Jenna Lake
Machine Learning Engineer,
Duolingo
Sarita Mallinger
Senior Director,
Digital Marketing & Media,
Kimpton Hotels & Restaurants
Nynke Niezink
Assistant Professor,
Department of Statistics
& Data Science,
Carnegie Mellon
University
Rebecca NugentCMU Stephen E and Joyce
Fienberg
Professor,
Associate Department Head,
Statistics
and
Data Science, Dietrich College(PANEL
MODERATOR)
Lauren (Poe) Parolin
Data Associate Sports Analytics Developer,
ESPN
Lucy Portnoff
Data Scientist,
Duolingo
Madison Schramm
Postdoctoral Fellow,
Institute for Politics and
Strategy(PANEL MODERATOR)
Emma Slayton
Data Curation, Visualization,
and GIS Specialist,
Carnegie
Mellon Libraries
Laila A. Wahedi
Research Scientist,
Facebook
Leila Wehbe
Assistant Professor,
Machine Learning Department,
Neuroscience
Institute,
Carnegie Mellon University
Katerina Wu
Data Scientist,
Hockey Operations,
Pittsburgh Penguins
Sara Ziegler
Sports Editor,
FiveThirtyEight
Platinum Partners
Silver Partners
Bronze Partners
Community Partners
Register
WiDS Technical Conference
Attendance is free!
Registration required to receive event access information.
Conference Registration
Sponsor Registration
Information about resume submission will be
emailed
out
to
registered attendees.
Contact
WIDS Pittsburgh @CMU is proudly hosted by the Department of Statistics & Data Science and Women in Statistics
Executive Program Committee:
-
Rebecca
Nugent
-
Kayla
Frisoli
-
Nicole
Goodman
- Teraya White
- Mikaela
Meyer
-
Xiaoyi
Yang
- Maria
Jahja
- Maya Shen
- Anni Hong
Questions can be directed to wids@stat.cmu.edu.
Code of Conduct
(modeled on the ASA Activities Conduct Policy approved November 30, 2018 by American Statistical Association Board of Directors)
Your registration or attendance at the 2021 WiDS Pittsburgh @CMU conference
indicates your agreement to abide by this policy and its terms.
Expected Behavior
- - Model and support the norms of professional respect necessary to promote the conditions for healthy exchange of scientific ideas.
- - Speak and conduct yourself professionally; do not insult or disparage other participants.
- - Be conscious of hierarchical structures in broader statistics/data science community, specifically the existence of stark power differentials among students, junior analysts/statisticians, and senior analysts/statisticians—noting that fear of retaliation from those in senior-level positions can make it difficult for students or those in junior level positions to express discomfort, rebuff unwelcome advances, and report violations of the conduct policy.
- - Be sensitive to body language and other non-verbal signals and respond respectfully.
Unacceptable Behavior
- - Violent threats or language directed against another person
- - Discriminatory jokes and language
- - Inclusion of unnecessary sexually explicit, violent, or otherwise sensitive materials in presentations
- - Posting (or threatening to post), without permission, other people’s personally identifying information online, including on social networking sites
- - Personal insults including, but not limited to, those using racist, sexist, homophobic, or xenophobic terms
- - Unwelcome solicitation of emotional or physical intimacy such as sexual advances; propositions; sexual flirtations; sexually-related touching; and graphic gestures or comments about sex or another person’s dress, body, or sexual activities
- - Advocating for, encouraging, or dismissing the severity of any of the above behaviors
Consequences of Unacceptable Behavior
What to Do if You Witness or Are Subject to Unacceptable Behavior
Process for Adjudicating Reports of Misconduct
Note: This Code of Conduct may be revised at any time by the WiDS Pittsburgh @CMU Conference. Questions, concerns, or comments should be directed to wids@stat.cmu.edu.