About the Team

Changlin Li

Changlin began his career at the Systemized Intelligence Lab at Bridgewater Associates for 5 years before joining Vowel.com (now acquired by Zapier) as a founding engineer for 4 years. Along the way he did a stint at the Recurse Center in New York City studying formal verification of software and then another stint at the Recurse Center with a focus on modern AI and AI safety. He holds an A.B. in Mathematics with a Secondary Concentration in Comparative Religion from Harvard University.

Max Chiswick

Max played online poker professionally for 5 years. In 2019, he spent 4 months at the Recurse Center focused on AI and reinforcement learning. He received a grant from MIRI to upskill in machine learning and then joined the AI Safety Camp as a participant in 2020 and as an organizer in 2021. He is now working on Poker Camp, a nonprofit that uses poker as a tool to teach probability, AI, and decision making under uncertainty. He has a B.S. in Electrical Engineering from Northwestern University and an M.Sc. in Electrical Engineering from Technion Israel Institute of Technology.

Mackenzie Mikkelsen

Mackenzie graduated from the University of Minnesota, Twin Cities, with a Bachelor of Science in Mathematics and Computer Science. During his time there, he served as a research fellow at the Robotics and Artificial Intelligence Lab, focusing on deep learning applications in computer vision. Later, Mackenzie joined Arbol Inc. as a founding engineer, where he contributed to the development of weather data analytics and climate models for climate risk prediction.

Ben Shar

Ben Shar is the founder of the Artificial Intelligence Safety and Ethics Foundation (AISEF), a student-led initiative advocating for responsible AI development and ethical practices. As a Computer Science and Engineering major with a minor in Finance at the University of Louisville, Ben combines his technical expertise with a passion for creating innovative finance-focused AI applications. He has organized workshops on AI safety and led events to raise awareness about AI's societal impact, aiming to drive meaningful progress in the intersection of technology, ethics, and finance.