Join us for an exclusive Women in AI/ML event at Google NYC, discussing the hottest topics - LLMs (Large Language Models) and generative AI.
Meet extraordinary women leaders in tech, ask questions, network with the experts, win raffle prizes, including books on Natural Language Processing with Transformers.
Important: You need to arrive between 4:00 and 4:30 pm and verify your vaccine status. Enter through the 9th Avenue entrance (75 9th avenue) located on 9th ave and 16th Street.
Guests who are not able to provide visual proof of vaccination will not be permitted to enter Google's NYC buildings.
The event is first come for 50 atendees and after that "doors close".
You are encouraged to show up on time to ensure your spot!
Submit Your Questions
4:00 pm - Doors Open and Check In
4:30 pm - Women in Tech Group Photo
4:30 pm - 5:30 pm: Food and Networking - Atlantic City Room
5:30 pm - 5:40 pm: Welcome and Intro
5:40 pm - 6:00 pm: Navigation Support for the Visually Impaired, and How Google Helped Me with My PhD by Roya Kandalan, Senior Research Scientist, Aware, Inc.
6:00 pm - 6:30 pm Privacy Protections for ML Models by Priya Chakraborty, Privacy Engineer, Google
6:30 pm - 6:50 pm AI/ML - Solving Business Problems from Development to Production by Phanom Noelani Parker, Global Product Leader, Alexa, Amazon
6:50 pm - 7:10 pm Responsible (Gen) AI by Ariadna Font Llitjós, Founder and CEO, MultiplyMe AI
7:10 pm - 7:45 pm Women in AI Townhall with All Speakers, moderated by Carolina Castro, Developer Relations Program Manager, Google
7:45 pm - 8:00 pm: Raffle Prizes & Networking
Valid Forms of Vaccination Verification:
Developer Relations Lead - Applied AI
Developer Relations Program Manager
Senior Research Scientist
Assitant Vice President
Global Product Leader, Alexa
Founder and CEO
Anu Srivastava is tech leader at Google who specializes in advocating for solutions powered by AI. She focuses on applications of Natural Language, Translation and Speech in workflow automation. She began her career as a software engineer with a focus on reliability for developer tools & infrastructure. She now works cross-functionally with product, marketing, sales to make sure the highest quality developer experience is delivered for the Google Cloud developer community. She sits on the Google I/O Steering Committee and her work can be found on the Google Cloud Youtube channel, podcast and blog.
Roya firmly believes that there is a solution to every problem, and there is always a way if one is committed.
Roya relies on her math and statistics background to break the problem into simple pieces. She uses her coding skills and my expertise in artificial intelligence and machine learning algorithms to find the most efficient solution in the least amount of time.
Every new challenge is an adventure to her, and she won't stop until she find its solution.
Supreet is a Data Strategist and Data Scientist at Morgan Stanley where she is the product owner of various AI products and is responsible for building data science solutions as well. Before this role, she was a Technology and Data Science Consultant, where she worked on impactful data science use cases and built launch strategies for various pharmaceutical clients. She is also the founder of DataBuzz, a community to engage tech enthusiasts. She is an ardent writer and speaker on data science and AI topics. She is also on the advisory board for Rutgers University MBS analytics program and other organizations. She advocates for women in technology and was selected as one of the Google Women Techmakers ambassadors.
Phanom Noelani Parker is a Global Product leader within the Data, AI, and ML space. Before joining Amazon, she was the Head of the Data & Analytics practice (AI/ML) for North America and EMEA at Atos Consulting and Head of the Go to Market Strategy for Cloud & Data Solutions at Capgemini. She was also responsible for Analytics & Data products at Verisk Analytics, where she helped develop cutting-edge products for Insurance & Financial Services. She graduated from NYU with a Bachelors & Masters degree. She is a Trustee at the Patrick School.
Ariadna Font Llitjós has a background in NLP and AI and, after over 10 years working as a technical leader in large companies (IBM and Twitter), she is
now founder and CEO of MultiplyMe AI, a new startup focused on leveraging technology to strengthen and deepen human connections.
Previously, she was Senior Director of Engineering of Twitter's Machine Learning (ML) Platform, where she focused on enabling advanced and ethical AI. Her proudest achievement at Twitter was creating the Responsible ML initiative and elevating it as a Company objective, as well as growing and empowering the industry leading ML Ethics Transparency and Accountability (META) team. She also served as the NYC's Side Lead.
Ari is passionate about diversity and inclusion (served as a Twitter Women board member and was a member of Twitter Alas, the LatinX group), as well as CMU's Women@SCS forever), and has a track record of attracting, hiring and developing exceptional talent, and always strive to provide a great user experience both internally (for team members), as well as externally (for users of our technology).
Priya Chakraborty is a privacy engineer who works on issues related to machine learning privacy, a rapidly growing area of research with critical applications, for a variety of product areas at Google. She is passionate about ensuring that privacy-by-design is an integral part of AI/ML systems. She has Bachelors and Masters degrees in math and a PhD in computer science
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