Women in Data Science (WiDS) San Francisco at IBM
Note: We are currently out of in-person tickets but have a waitlist if seats become available. Please email the organizer if you would like to be on the waitlist.
Due to the overwhelming response from last year’s event that had 600+ in-person and virtual registrations and 12 amazing speakers including IBM, OpenAI, Netflix and Google, we are excited to host the 2nd annual IBM-sponsored Women in Data Science (WiDS) event in San Francisco!
The event will take place on Wednesday, 30th October from 3 PM in San Francisco. You can attend in person (limited seats) or virtually. The event is free and open to all.
✨ Attendees will be entered to win a 1:1 session with the speakers! Bonus entries for referring others to the event. Make sure to use the invite feature in Luma so we can track your referrals.
Speakers:
Amazing Women in Data Science!
🎙️Laura Guio, GM & Managing Partner @ IBM Technology Consulting Alliance & Red Hat, California Senior State Executive
With over 20 years of cross functional expertise in the Hardware, Software and Technical Services, Laura will be our Executive Keynote speaker.
🎙️Sandi Besen, Applied AI Research @ IBM & Neudesic, an IBM Company - Building Intelligent Multi-Agent Systems
Sandi is an AI approachability champion, helping enterprises, startups and enthusiasts alike!
🎙️Claudia Natasia, CEO & Co-Founder @ Riley AI - Code, Chaos, and Founding Dreams: A Data Girl's Leap into Leadership
Passionate about making data-driven strategies collaborative and accessible, Claudia is using data to build adaptive AI that helps every single organization confidently decide what to build next, at Riley AI.
🎙️Katherine Kaplan, Senior Data Scientist and Founder @ Next Wave Carbon - Leveraging Remote Sensing, Machine Learning, and Causal Inference to Digitally Assess Nature-Based Climate Solutions
Katherine is passionate about applying data science to tackle climate change and driving innovation in the transition to a sustainable future.
🎙️Meltem Tolunay, Quantum Algorithm Engineer @ IBM Quantum - Quantum Machine Learning
Building on her graduate research, Dr. Meltem is currently working on enabling the implementation of quantum machine learning algorithms on hardware.
🎙️Nathalie Baraclado, Senior Research Scientist @ IBM - Learning with Granite 3.0 and Unlearning for AI Safety
Nathalie is passionate about delivering machine learning solutions that are highly accurate, withstand adversarial attacks and protect data privacy!
🎙️Cathy Dinas, ex-Chief of Staff @ Anthropic - From Policies to Protection: Building AI Safeguards for Election Integrity in 2024
Cathy is the former Chief of Staff to the Head of Policy and Head of Global Affairs at Anthropic, where she supported responsible AI development and governance.
🎙️Vishakha Gupta, CEO & Cofounder @ ApertureData - Can We Simplify Analytics on Multimodal Data to Unlock Its Potential?
Vishakha has extensive experience working on all things storage and systems, particularly visual data management challenges for analytics use cases.
🎙️ Miriam Leon, Senior Data Scientist @ Lyft
After pivoting into a career in Data Science, Miriam has worked at Stitch Fix and Lyft, using Machine Learning, Reinforcement Learning and Experimentation to personalize and improve customer experiences across retail and transportation.
🎙️ Shruti Bhutaiya, Senior Machine Learning Engineer @ ServiceNow
A Data Scientist with 5+ years of work experience, Shruti believes in creative thinking and innovation!
🎙️ Yana Ageeva, AI Engineer, WW AI Assistants Lead - watsonx Client Engineering @ IBM
🎙️ Yogitha Chilukuri, Product Manager @ Snowflake
Yogitha is a Product Manager building Developer Experiences and Advanced Analytics features at Snowflake.
What you can expect from this half day event:
Learn about data science and AI and how they are used at other organizations
Celebrate women! Elevate the extraordinary impact they are making in data science
Network! Build your community and find like-minded people to help achieve your goals
Logistics
Join our Slack community to network with other attendees during the event
The virtual webinar will open at 3:00 PM PT in advance of the talks starting at 3:10 PM PT
We are using Microsoft Teams to stream the event. Details to join below.
Microsoft Teams Need help?
Join the meeting now
Meeting ID: 224 026 579 764
Passcode: EcFxmoDial in by phone
+1 929-336-1597,,948552057# United States, New York City
Find a local number
Phone conference ID: 948 552 057#If you encounter issues, please reach out through Luma or post in the #help channel on Slack
Agenda
2:15 PM - Registration
2:30 PM - Expo
3:00 PM - Welcome
3:10 PM - Executive Opening Keynote, by Laura Guio
3:20 PM - (T1) Leveraging Remote Sensing, Machine Learning, and Causal Inference to Digitally Assess Nature-Based Climate Solutions, by Katie Kaplan
3:35 PM - (T2) Quantum Machine Learning, by Meltem Tolunay
3:50 PM - (T3) Code, Chaos, and Founding Dreams: A Data Girl's Leap into Leadership, by Claudia Natasia
4:05 PM - (T4) Learning with Granite 3.0 and Unlearning for AI Safety by Nathalie Baraclado
4:15 PM - Break!
4:30 PM - (T5) Can We Simplify Analytics on Multimodal Data to Unlock Its Potential?, by Vishakha Gupta
4:45 PM - (T6) Building Intelligent Multi-Agent Systems, Sandi Besen
5:05 PM - (T7) From Policies to Protection: Building Al Safeguards for Election Integrity in 2024, by Cathy Dinas
5:20 PM - (T8) Panel discussion with Miriam Leon, Shruti Bhutaiya, Yana Ageeva, and Yogitha Chilukuri
5:50 PM - Closing Remarks
6:00 PM - Networking
WiDS San Francisco is an independent event organized by WiDS ambassador, Grishma Jena. WiDS Worldwide is a global non-profit that aims to celebrate women's achievements and inspire others. The WiDS mission is to achieve 30% representation for women in education, innovation and leadership by 2030 with a long term vision of full and equal representation in Decision Making, Economic Prosperity and opportunities.