Jeff Guo (he/him) is a co-host and reporter for Planet Money, NPR's award-winning podcast that finds creative, entertaining ways to make sense of the complicated forces that move our economy....

July 19, 2022; Washington, D.C. — Planet Money has named two new co-hosts: Jeff Guo, who was most recently NPR's inaugural Ishiyama Transparency in Government Legal Fellow, and Nick Fountain, who...

2017年4月12日 · Jeff Guo was a reporter covering economics, domestic policy and everything empirical. He left The Washington Post in April 2017.

Last summer, journalist and lawyer Jeff Guo ’20JD became cohost of NPR’s popular podcast Planet Money, a twice-weekly 20-minute show that explains complicated economic ideas in entertaining discussions.

Jeff Guo is an economics reporter and lawyer. He holds bachelor's degrees in math and economics from MIT and a J.D. from Yale. In his first job out of college, Guo analyzed data and wrote mathematical proofs as a research assistant for a Nobel Prize-winning economist.

2023年9月21日 · It was one of the largest crypto thefts ever. Jeff Guo from our Planet Money podcast brings a story of what happened next. JEFF GUO, BYLINE: The game was called Axie Infinity. It's kind of like...

Jeff Guo. EPFL. Verified email at epfl.ch. Generative Molecular Design Drug Discovery Reaction Optimization. Articles Cited by Public access. Title. Sort. Sort by citations Sort by year Sort by title. ... J Guo, V Fialková, JD Arango, C Margreitter, …

2017年7月14日 · Its mission: to help everyone understand our complicated world, so that we can all help shape it. In text, video and audio, our reporters explain politics, policy, world affairs, technology,...

J. Guo, P. Schwaller “Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design”, ICLR, 2024. Sample efficient reinforcement learning with active learning for molecular design

I am a 3rd year PhD student advised by Professor Philippe Schwaller at École Polytechnique Fédérale de Lausanne (EPFL), developing molecular generative models for accelerated drug discovery. Previously, I interned at Microsoft AI4Science in Amsterdam.