Dillon Bowen

Dillon Bowen is a Research Fellow at FAR AI, a position he holds after recently completing his Ph.D. at the Wharton School.1 His doctoral studies focused on computational social science with applications in forecasting.1

Academic Background

Bowen's academic journey includes:

• Ph.D. from the Wharton School, specializing in decision science45
• Research interests in cognitive science, machine learning, and behavioral science4

Current Work

At FAR AI, Bowen is involved in cutting-edge research:

• He recently co-authored a publication titled "Scaling Laws for Data Poisoning in LLMs," which explores various threat models in data poisoning for large language models2
• His work involves combining expert human judgment with machine learning techniques, particularly in the field of cyber forecasting5

Previous Experience

Before his current role, Bowen:

• Served as a Research Assistant at CHAI (Center for Human-Compatible AI)3
• Was recognized as a Global Priorities Fellow5

Online Presence

Bowen maintains an active professional presence:

• He shares updates and insights about his work on LinkedIn, including recent posts about AI projects like "Astribot S1"3
• He has a personal website where he describes his goal as "elevating behavioral science using machine learning"4

Dillon Bowen's work at FAR AI and his background in computational social science position him at the intersection of artificial intelligence, behavioral science, and decision-making research.