Xi(Sean) Chen 陈熙

Hi! I am an applied scientist of Nova Scaling team at Amazon AGI Foundations, where I work on pre-training and mid-training for core foundation models.

Before join Amazon, I PhD study in computer science at University of Massachusetts Amherst (UMass), where I am luckily advised by Przemyslaw Grabowicz. I also work closely with Brendan O'Connor (UMass), Ethan Zuckerman (MIT&UMass), Scott Hale (Oxford), and David Jurgens (UMich). During internships, I led research with amazing teams at UCLA and Zhipu AI (Chinese OpenAI) under the guidance of Jie Tang (Tsinghua).

My research is pioneering event evolution within textual media graph at global scale , with interdisciplinary study of LLM training, machine learning, information retrieval, natural language processing, network science, and social science.

My curiosity expands to philosophy, psychology, fine arts, economy, and politics. In leisure time, I enjoy playing tennis and strategy games. I ranked global top50 of Autochess (50/millions, a world-class strategy game for playing DOTA on chess table).

Highlights:

• We released Nova LLM series Nova 2 Pro and Nova 2 Lite!
• We found economic factors matter the most among global international news synchrony!
• We found a terrorist attack in Africa need 20x more deaths for same media attention as one in Eastern Enrope!