Top Data Scientists

Milo Rignell

COO at LightOn

I serve as the Chief Operating Officer at LightOn, where I focus on scaling generative AI technologies. My background includes extensive work in AI policy and governance, including my roles as a Board Member at the Centre pour la Sécurité de l'IA and as a Fellow at Institut Montaigne. I am also a committee member for CEN and CENELEC’s JTC 21, contributing to the development of international standards for artificial intelligence.

Michael Desir

Data Scientist at USPS OIG

Michael Desir is a Student Coop Data Scientist at USPS Office of the Inspector General and is currently studying Data Science and Legal Studies at American University. He previously served as a research intern with the Montgomery County Police Department, where he led an analytics project into officer use of force and surfaced key insights for senior department leadership. His technical portfolio spans dashboard analytics (Tableau), enterprise-scale machine learning (foundation models, fine-tuning), and data operations and governance (Databricks, Airflow). Additionally, he serves as Chair of the RaptorHacks Organizing Committee, a unique build-a-thon based at Montgomery College.

Christophe Mignon is a professional specializing in business intelligence and operations, currently serving as a co-founder at Voltare, a company focused on solar self-consumption solutions. He holds a Master’s degree in Business Intelligence from Isep and has previously held roles in revenue operations at Deepki, operations management at Dott, and data analysis at PwC France. His expertise spans data analytics, CRM structuring, and operational standardization.

Eyyüb Sari is a researcher specializing in machine learning and artificial intelligence, with a focus on neural network optimization and statistical methods. He has contributed to academic research in areas such as quantized neural networks and predictive modeling, having been affiliated with Huawei Noah's Ark Lab.

I am a Partner at Maveron, where I focus on early-stage venture capital investing. Previously, I worked as a data scientist at Google and YouTube and held investment roles at Advancit Capital. I hold an M.B.A. from The Wharton School and an M.S. in Industrial Engineering & Operations Research from UC Berkeley, and I am a member of Kauffman Fellows Class 28.

I am the founder of Hera, where I leverage data and technology to transform the second-hand luxury market for collectors and resellers. With a background in data science and product development, I specialize in building analytical tools and infrastructure that provide actionable market insights for the luxury industry. My work focuses on increasing transparency and accessibility within the pre-loved luxury space.

I am a Business Analyst with extensive experience in operational data analysis and performance management. I specialize in designing dashboards, optimizing data workflows, and automating reporting to support strategic decision-making. My background includes a Master’s degree from TBS Education and a strong focus on driving commercial and operational efficiency.