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Important issues facing Women in the Data Science Community

December 5, 2018 @ 6:30 pm - 8:30 pm

A Panel Discussion on Women in Data Science

WHEN: Wed, Dec 5, 2018
6:30 arrive, network, food
7:00 Introduce the panel
7:15 Panel discussion
8:30 wrap up

DESCRIPTION:
* Why aren’t we using more of the women brainpower available to this profession?
* Review surveys discussing the 5-year and later demand for data scientists.
* What we can do at the earliest stages to support women in STEM?
* What is a perspective from startups, midcap or large company hiring?

PANELLISTS:
(Moderator) Sophia Viklund https://www.linkedin.com/in/sophiaviklund/
Sophia Viklund is an entrepreneur, public speaker, advisor, mentor to startups, investor, and an advocate of women and girls in STEM education (Science, Technology, Engineering and Mathematics). She is an investor with The Band of Angels. Sophia is currently centrally engaged as CEO and Founder of New Sun Technologies Inc., a Silicon Valley-based company that produces innovative products in the area of A.I. to improve the lives of the ageing population. Sophia is a technical board member of Open Source Vision Foundation, a global organization dedicated to computer vision, with over 30 million members worldwide.

Dr. Hui Wang https://www.linkedin.com/in/hui-wang-395130/ is VP of Data Science for PayPal. Dr. Wang manages the data science team developing machine learning and data mining technologies for PayPal. Her team owns fraud and risk models that are backbones for PayPal’s Risk Management, as well as various data science solutions to support product, marketing, sales and customer service. She is expert in many machine learning technologies. Additionally, she plays a designer role in architecting many next generation analytic products to enable modern machine learning for real time detection and decision systems. Her team won ComputerWorld 2015 Data+ Editor’s Choice Award and she was the winner of 2016 Women in Payment Innovation Award. She holds B.S. in Computer Science from University of Science and Technology of China and Ph.D. in Statistics from University of California, Berkeley.

Dr. Viji Krishnamurthy, https://www.linkedin.com/in/viji-krishnamurthy-3a63981/, leads analytics for IoT and Blockchain apps
at Oracle. Viji is a specialist in applying AI/ML to industrial and consumer applications where self optimization and autonomy are desired. As a data scientist, Viji has helped to automate manufacturing decisions and helped to optimize product quality, supply chain and product pricing at various high tech manufacturing companies. Viji has also managed IoT platforms and released analytics rich applications for consumers and industrial users in Smart Building, Industrial IoT and Consumer Electronics companies. Viji holds a Ph.D. in Operations Research from Northwestern University and, is a proud Wildcat and a Sun Devil.

Dr. Sheng You, https://www.linkedin.com/in/shengyou/, got her Ph.D. in Electrical Engineering at Northeastern University in 2014. She has been working in data science since 2013, most recently at FogHorn Systems

Karen Ebert Matthys, Executive Director, External Partners, Institute for Computational & Mathematical Engineering at Stanford Univ. Karen develops relationships with companies interested in collaboration around machine learning, data science, computational math, and high performance computing. Karen is also an Advisory Board member for the Stanford Catalyst promoting inter-disciplinary research. Karen is co-Founder and co-Director of the Women in Data Science Conference which reached over 100,000 participants in 2018. Her previous positions include Director of Marketing Strategy at Cellular One, Lecturer at Stanford Graduate School of Business, Innovation Partner at SRI International, and management positions at Apple.

Details

Date:
December 5, 2018
Time:
6:30 pm - 8:30 pm
Event Category:
Website:
https://www.meetup.com/SF-Bay-ACM/events/255354573/

Organizer

SF Bay ACM Chapter
View Organizer Website

Venue

eBay Inc Town Hall
2161 North First Street
San Jose, CA 95131 US
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