Name: Women in Data Science Stanford Conference watch party + networking
Start: 2024-03-08T09:00:00-08:00
End: 2024-03-08T17:00:00-08:00
Location: 555 California St

\*\*\* RSVP: [https://lu.ma/9c5pat0i](https://lu.ma/9c5pat0i)
(Due to building security, you must pre-register at the link for admission)

This is an in-person event! [Registration](https://lu.ma/9c5pat0i) is required to get in. Microsoft will email you a form the day before the event, which you will need to complete for your access pass. Registration will close 2 days before the event.

**What we’ll do:**
Livestream of the [WiDS Stanford Conference](https://www.widsworldwide.org/events/event/wids-stanford-2024/). This technical conference features outstanding women discussing their exceptional work in data science, AI, and related fields, across a wide range of domains.
Stay as long, or little, as you like! Network with local tech women! Get inspired!

\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-
Agenda:
8:30 - 9:00 - Welcome/Networking/Registration
9:00 - 12:30 - Live stream [the conference](https://www.widsworldwide.org/events/event/wids-stanford-2024/)
12:30 - 1:30 - Lunch break
1:30 - 4:40 - Live stream [the conference](https://www.widsworldwide.org/events/event/wids-stanford-2024/)
4:40 - 6:00 - Networking
\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-

**Who Should attend:**
Anyone can attend. Let's celebrate together the International Women's Day!

**When:**
March 8, 2023 at 9:00AM

**Where:**
This is an in-person event! [Registration](https://lu.ma/9c5pat0i) is required to get in. Registration will close 2 days before the event.

Special thanks to [Microsoft Reactor](https://developer.microsoft.com/en-us/reactor/about/) for providing the event space and lunch. Sponsored by Microsoft and [Zilliz](https://zilliz.com/blog?tag=39) maintainers of [Milvus](https://github.com/milvus-io/milvus).

**Important to know:**
CODE OF CONDUCT
Anyone who violates or has previously violated this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition.
https://rladies.org/coc/

Gabriela de Queiroz

R-Ladies San Francisco

R-Ladies

R-Consortium

Technology

Data Science

Women in Technology

Statistical Computing

Big Data

Machine Learning

Predictive Analytics

Data Mining

Data Visualization

New Technology

Computer Programming

Data Analytics

R Project for Statistical Computing

Applied Statistics

Christy Bergman

Ambika

Claudine   (she/her)

Eli Zarrindast

Joschka-Joseph

T. Libman

Maggie L.

Gabriela de Queiroz is the Director of AI at Microsoft, where she provides strategic guidance to both early and growth-stage startups, helping them harness the full capabilities of AI and Microsoft’s products.
Prior to joining Microsoft, Gabriela held significant positions at IBM. As their Chief Data Scientist, she spearheaded the AI Strategy and Innovations, and as the Program Director for AI Open-Source Technologies, she led numerous Data & AI open-source initiatives and projects. Earlier in her career, Gabriela gained experience in diverse sectors, working for startups in the Software, Financial, Advertising, and Healthcare industries.

In addition to her corporate roles, Gabriela has dedicated herself to fostering inclusivity within the technology community. In 2012, she founded [R-Ladies](https://rladies.org/), a global organization for promoting diversity in the R community, currently present in over 200 cities across 55 countries with over 100k members. Following this, in 2019, she founded [AI Inclusive](https://www.ai-inclusive.org/), a global initiative committed to increasing the representation and participation of minorities in Artificial Intelligence.






R-Ladies San Francisco

Women in Data Science Stanford Conference watch party + networking

R-Ladies San Francisco

Details

Sponsors

Members are also interested in