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