A former quant, Sarah founded Seek AI in 2021. Sarah most recently led the consumer data team at Citadel's Ashler Capital. Prior to joining Citadel, Sarah led enterprise data product development at two startups, Edison and Predata, which both exited. Sarah started her career as a quant at ITG developing algorithmic trading strategies. Sarah has a Master in Finance degree from Princeton and dual Bachelor's degrees in Astrophysics and Business Economics from UCLA.

A veteran technologist with a passion for growing products and organizations, Michael joined Seek AI as CTO in May 2024. He started his software career working on operating systems, both for desktop and mobile devices. Later he joined Google where he built out the cloud services that power more than a billion Android devices. Most recently, Michael was CTO at FullStory, an innovative analytics platform that analyzes qualitative and quantitative data for major enterprises. Outside of work, Michael loves spending time with his family, hacking on side projects, and struggling to learn French.

Utkarsh is a graduate student in Computer Engineering with a focus in Machine Learning at NYU. Utkarsh is originally from India and prior to joining Seek has worked in the field of VR for Cosm Immersive and developed live streaming applications. As a NLP researcher at Seek, Utkarsh will be focused on leveraging Large Language Models to understand and automate answering business queries.

An engineering leader with 10+ years of experience building data analytics and business intelligence software, José is responsible for overseeing the architecture, development, and security of Seek AI’s web platform and products, managing the engineering organization and leading all aspects of the development lifecycle. Most recently, he was Senior Director of Engineering at Numerator (acquired by Kantar), and has previously worked at Oracle and GE Healthcare. He has a Bachelor of Science degree in Electrical Engineering and Computer Science from MIT.

Erik joined Seek in early 2023 as a Research Scientist. He works on reinforcement learning and evaluation in service of generating useful code with language models. Prior to Seek, he researched counterfactual reinforcement learning in the CausalAI lab at Columbia University, researched reinforcement learning for equity trading at Columbia Business School, and built a product for the census bureau. He holds undergraduate degrees in pure and applied math, as well as a master's degree in machine learning from Columbia. He plays a lot of chess and basketball, but never at the same time.

Claire is a Group Leader at the University of Tuebingen, in the Cluster of Excellence Machine Learning for Science. She was awarded an Emmy Noether award under the AI Initiative call in 2022. Her research is on sequential decision making. It mostly spans bandit problems, and theoretical Reinforcement Learning, but her research interests extend to Learning Theory and principled learning algorithms. While keeping in mind concrete problems, she focuses on theoretical approaches, aiming for provably optimal algorithms. Previously, she was a Research Scientist at DeepMind in London UK since November 2018 in the Foundations team lead by Prof. Csaba Szepesvari. She did a post-doc in 2018 with Prof. Alexandra Carpentier at the University of Magdeburg in Germany while working part-time as an Applied Scientist at Amazon in Berlin. She received her PhD from Telecom ParisTech in October 2017, under the guidance of Prof. Olivier Cappé.

Panos Ipeirotis is a Professor and George A. Kellner Faculty Fellow at the Department of Technology, Operations, and Statistics at the Leonard N. Stern School of Business of New York University. His research focuses in the areas of crowdsourcing, machine learning, web data management, and social media analytics. He is widely regarded as the world's leading expert in building human-machine loop systems, that integrate human and machine intelligence to generate outcomes that are better than what humans alone or machines alone can achieve. He has also received more than ten “Best Paper” awards and nominations, and a CAREER award from the National Science Foundation. For his contributions in the field of social media, user-generated content, and crowdsourcing, he received the 2015 Lagrange Prize in Complex Systems.