Women in Data Science (WiDS) New Jersey 2022

Women in Data Science (WiDS) New Jersey

May 25, 2022
12 p.m. – 1 p.m., EST, Virtual

Inspire
Connect
Discover

#WiDSNewJersey
#WiDS2022

A virtual conference showcasing women in data science, and bringing people together to share experiences,  inspire, and educate those interested in data science.

Edge, IEEE Women in Engineering Princeton, and Verizon are proud to collaborate with Stanford University to bring the Women in Data Science (WiDS) conference to New Jersey. The virtual one-day conference will feature speakers from academia and industry, to talk about the latest data science-related research in a number of domains, to learn how leading edge companies are leveraging data science for success, and to connect with potential mentors, collaborators and others in the field. 

WiDS New Jersey is an independent event organized by New Jersey WiDS Ambassadors to coincide with the annual Global Women in Data Science (WiDS) Conference held at Stanford University and an estimated 150+ locations worldwide. All genders are invited to attend WiDS regional events, which features outstanding women doing outstanding work.

Register for the virtual event here


Career Panel
Data Science Career Journeys

The virtual Career Panel will feature Data Science leaders from academia and industry, to talk about careers in Data Science and how leading edge companies are leveraging data science for success.

Cecilia Aragon
Professor, Human Centered Design & Engineering, University of Washinton

Cecilia is Professor and Director of the Human-Centered Data Science Lab at the University of Washington (UW) where she and her team use both quantitative (statistical and computational) and qualitative (ethnographic, human-centered design) methods to study how people make sense out of large data sets. They build visualizations, games, and other software to enable these interactions. This emerging field, known as human-centered data science, is situated at the intersection of human-computer interaction and data science. In 2016, Cecilia became the first Latina named to the rank of Full Professor in the College of Engineering at UW in its hundred-year history. She earned her Ph.D. in Computer Science from UC Berkeley and her B.S. in Mathematics from Caltech. She’s received numerous awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE), the Fulbright, and Top 25 Women of 2009 (Hispanic Business Magazine). Her most recent book is Human-Centered Data Science: An Introduction (MIT, 2022).

Sharon Hutchins
VP & Chief of Operations, Intuit AI+Data

As VP & Chief of Operations, Sharon leads business operations and program management for Intuit’s AI+Data organization. Among her responsibilities is oversight of internal data stewardship practices, including management of data assets to streamline data worker preparation tasks with high-quality, easily accessible, clean and understandable data.

Sharon has a proven track record of success in leading a broad range of initiatives over 20+ years with Intuit. Before joining the Intuit AI+Data team, she spent several years with the company’s IT organization. Most recently, as Director of Business Operations and Director of Merger and Acquisition, Global Expansion and Special Events, she was responsible for IT risk and compliance, integration of global acquisitions, and asset management. She is a graduate of the Haas School of Business at the University of California, Berkeley.

Tamara Kolda
Mathematical Consultant, MathSci.ai

Tammy is an independent mathematical consultant under the auspices of her company MathSci.ai based in California. From 1999-2021, she was a member of the technical staff at Sandia National Laboratories, California. She specializes in mathematical algorithms and computation methods for tensor decompositions, tensor eigenvalues, graph algorithms, randomized algorithms, machine learning, network science, numerical optimization, and distributed and parallel computing. She is the founding editor-in-chief for the SIAM Journal on Mathematics of Data Science. She is a member of the National Academy of Engineering (NAE), Fellow of the Society for Industrial and Applied Mathematics (SIAM), and Fellow of the Association for Computing Machinery (ACM).

Maggie Wang
Robotics Software Engineer, Skydio

Maggie is a robotics software engineer at Skydio, an autonomous drone startup in Silicon Valley. With interests in motion planning, control theory, computer vision, and deep learning, her goal is to build robots to expand human consciousness, creativity, and connection. She received her A.B. in Physics and S.M. in Computer Science from Harvard in May 2021. While in college, Maggie led a team to build fixed-wing planes in the Harvard Unmanned Aerial Systems team (now HUAERO) and helped start the Harvard Satellite Team. She also worked on embedded systems and computer vision at Google Nest, researched robust pose estimation in the MIT Robot Locomotion Group, and helped build autonomous underwater robots in the Harvard Self-Organizing Systems Research Group.


Moderated by
Suzanne Weekes

Executive Director, SIAM 

Suzanne Weekes is the Executive Director of SIAM, an international professional society of over 14,000 individual members with almost 500 institutional members from academia, government, and research laboratories. Through publications, research and community, the mission of SIAM is to build cooperation between mathematics and the worlds of science and technology.

Prof. Weekes co-directs the national PIC Math (Preparation for Industrial Careers in Mathematical Sciences) Program, and she is a founding director of the MSRI-UP (Mathematical Sciences Research Institute Undergraduate Program). She is on the Board of Governors of TPSE Math (Transforming Post-Secondary Education in Mathematics).

Her research work has been in numerical methods for differential equations including applications to spatio-temporal composites and cancer growth. She has been involved in various initiatives connecting the academic mathematics community to mathematics and statistics work done in business, industry, and government. ​​


WiDS Ambassadors and Hosts

About WiDS

The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. WiDS started as a one-day technical conference at Stanford in November 2015. Five years later, WiDS is a global movement that includes a number of worldwide initiatives:​

  • A conference with 150+ regional events worldwide in more than 60 countries, reaching 100,000 participants annually online and in person
    
  • A datathon, encouraging participants to hone their skills using a social impact challenge
    
  • A podcast series, featuring data science leaders from around the world talking about their work, their journeys, and lessons learned along the way
    
  • An education outreach program to encourage secondary school students to consider careers in data science, artificial intelligence (AI), and related fields

Inspire. Connect. Discover.

Forough Ghahramani
AVP for Research, Innovation, and Sponsored Programs, NJEdge
Rashmi Ketha
New Business Incubation Product Manager, Verizon
Dyuti Dave
Technology Analyst, Barclays

Event contact: research@njedge.net

Sponsored by