March 20 - 21, 2020
In light of the public health concerns surrounding COVID-19 and erring on the side of caution and support for the health and well-being of our community, WiDS Pittsburgh@CMU is moving to a virtual format with no in-person receptions, networking, or talks. Currently registered attendees will be contacted over email about next steps.
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 female speakers from academia and industry.
This year, WiDS Pittsburgh@CMU will be a set of virtual, moderated panels on March 20th and March 21st. Attendees will be able to listen to and engage with data science leaders and graduate students working in related fields on both industry and academic opportunities as well as submit resumes for potential opportunities with industry sponsors.
Schedule
March 20
12-1pm EDT: Data Science in Finance panel, co-hosted by MSCF
- Sameena Shah, Managing Director AI Research, JP Morgan
- Jennika Gold, Head of Fixed Income Data and Analytics, Morningstar
- Ren Zhang, Chief Data Scientist, BMO Financial
1-2pm EDT: Panel
- Brandy Aven, Associate Professor, Tepper School of Business
- Lori Coulter, Founder, CEO, President, Summersalt
- Haiwen (Helen) He, Founding Partner, New Wheel Capital
- Wendy M. Masiello, Ret Lt General, US Air Force
March 21
12-1pm EDT: Student Panel
- Mikaela Meyer, PhD Student, Statistics and Data Science, Public Policy
- Erin McCormick, PhD Candidate, Social and Decision Sciences
- Amanda Coston, PhD Student, Machine Learning, Public Policy
- Anjalie Field, PhD Student, Language Technologies Institute
- Xiaoyi Yang, PhD Student, Statistics and Data Science
1-2pm EDT: Panel
- Lindsay Page, Associate Professor, Psychology in Education
- Shannon Gallagher, Post-doc, National Institute of Allergy and Infectious Diseases
- Kayla Frisoli, PhD Candidate, Statistics and Data Science
- Sae-Seul Park, PhD Candidate, Tepper School of Business
- Alexandra To, PhD Candidate, Human Computer Interaction Institute
- Shihan Li, PhD Student, Public Policy
Panel Speakers
Rebecca NugentCMU Stephen E and Joyce Fienberg Professor,
Associate Department Head,
Statistics and Data Science, Dietrich College(MODERATOR)
Sameena Shah
Managing Director, AI Research,
JP Morgan
Jennika GoldHead of Fixed Income Data and Analytics,
Morningstar
Ren Zhang
Chief Data Scientist,
BMO Financial
Wendy M. Masiello
Ret Lt General,
US Air Force
Lori Coulter
Founder, CEO, and President,
SUMMERSALT
Elizabeth Wayne
TED Fellow, Assistant Professor in Chemical Engineering and Biomedical Engineering,
College of Engineering
Brandy Aven
Associate Professor in Organizational Theory, Strategy, and Entrepreneurship,
Tepper School of Business
Haiwen (Helen) He
Founding Partner,
New Wheel Capital
Former Chief Strategy Officer,
Baidu
Lindsay Page Associate Professor, Psychology in Education, University of Pittsburgh School of Education; Learning Research and Development Center
Student Panel Speakers
Kayla Frisoli
PhD Candidate,
Statistics and Data Science
Mikaela Meyer
PhD Student,
Statistics and Data Science
Public Policy
Xiaoyi Yang
PhD Student,
Statistics and Data Science
Anjalie Field
PhD Student,
Language Technologies Institute
Shannon Gallagher
Post-doc,
National Institute of Allergy and Infectious Diseases
Sae-Seul Park
PhD Candidate,
Tepper School of Business
Shihan Li
PhD Student,
Public Policy
Amanda Coston
PhD Student,
Machine Learning
Public Policy
Alexandra To
PhD Candidate,
Human Computer Interaction Institute
Erin McCormick
PhD Candidate,
Social and Decision Sciences
Contact
WIDS Pittsburgh @CMU is proudly hosted by the Department of Statistics & Data Science and Women in Statistics
Executive Program Committee:
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 2020 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.