Our team

Prior to Tribe AI, Elizabeth ran nationwide innovation programs for Fortune 500 companies and federal agencies including DHS, Dept of Ed, NASA, and the NSA. Elizabeth also led the R&D team at economic analytics firm Locus Analytics, where she was granted two patents for her theoretical framework for analyzing workforce trends across industries.

Elizabeth is most interested in how data science and machine learning can create positive social and economic change.

Noah started his entrepreneurial journey building iPhone apps in his dorm room. Prior to starting Tribe he incubated products at Expa and was part of the founding team of Gigster, where he worked with the C-Suite at Fortune 500s leading large scale tech projects.

Noah is passionate about the potential for AI to enable people to self-actualize.

Ben is a technical product leader who comes to Tribe from Datakind, where he worked to advance data science and AI for social good. A reformed academic with a PhD in Hispanic Linguistics, he still teaches at Columbia University’s graduate program for Applied Analytics and is a member of the MERL Center with GitHub’s Social Impact Team.

For Ben, community is the key to advancing innovation. He’s most excited to work with – and learn from – Tribe’s network of brilliant technologists using data science and AI on high-impact projects.

Orges has spent his career helping clients solve complex problems, whether it's the search for higher yield, the best risk-adjusted returns, or finding the best olive oil. Prior to Tribe, Orges spearheaded new business initiatives for Bloomberg's largest buy-side clients in the Southeast where he designed and implemented Portfolio & Risk Management solutions. Before transitioning to financial technology, Orges managed key accounts for Deutsche Asset Management serving as a Client Portfolio & Relationship Manager, overseeing over $100B of assets under management.

Orges is most interested in how ML will empower individuals and incentivize companies to focus on more meaningful work. He’s excited to shape that future by helping build the Tribe community, which is democratizing access to the bleeding edge of what's possible.

Jackie spent the majority of her career at Google partnering with enterprise companies and incubating new products. She was an early employee at CapitalG, Alphabet’s growth equity firm, where she built a fifty-thousand-person expert network and advised growth-stage tech companies like Airbnb on scaling their technical infrastructure, data security, and leveraging machine learning for growth.

Having seen the value of AI and machine learning firsthand at Google, Jackie is committed to helping all companies realize this value for their businesses.

Oleksandr is an entrepreneur, ML engineer, and CTO. After finishing his fellowship at the Founder’s Institute, he came to Tribe to see applied AI across organizations firsthand.

Oleksandr enjoys working with the Tribe community, helping entrepreneurs connect their technical skills and interests to customer needs.

Bailey got her start in storytelling as a journalist, before pivoting to tech content development for unicorn startups from Montreal to San Francisco – helping build brands and shape stories to drive business results.

Bailey is excited to tell the story of Tribe – from the wildly impactful projects to the brilliant technologists shaping our collective future.

Drew Conway is a prominent data scientist, entrepreneur, author, and advisor to startups, academic institutions, and government agencies. He’s most widely known for his creation of the Data Science Venn Diagram, which was foundational to the field. Drew currently leads data science for Two Sigma Private Investments, where he drives differentiated investment decisions across private equity, venture, real estate and ESG investing. Prior to joining Two Sigma, Drew was the founder and CEO of Alluvium, an enterprise AI company and co-founder of DataKind, a global non-profit of pro bono data scientists.

To remain competitive, all business must incorporate modern data science approaches into their decision making. And yet many of them struggle. Tribe has cultivated an incredibly effective approach to supporting and guiding businesses through this transition.