
Sign up to save your podcasts
Or


In Young Cho thought she was going to be a doctor but fell into a trading internship at Jane Street. Now she helps lead the research group’s efforts in machine learning. In this episode, In Young and Ron touch on the porous boundaries between trading, research, and software engineering, which require different sensibilities but are often blended in a single person. They discuss the tension between flexible research tools and robust production systems; the challenges of ML in a low-data, high-noise environment subject to frequent regime changes; and the shift from simple linear models to deep neural networks.
You can find the transcript for this episode on our website.
By Jane Street4.9
7272 ratings
In Young Cho thought she was going to be a doctor but fell into a trading internship at Jane Street. Now she helps lead the research group’s efforts in machine learning. In this episode, In Young and Ron touch on the porous boundaries between trading, research, and software engineering, which require different sensibilities but are often blended in a single person. They discuss the tension between flexible research tools and robust production systems; the challenges of ML in a low-data, high-noise environment subject to frequent regime changes; and the shift from simple linear models to deep neural networks.
You can find the transcript for this episode on our website.

590 Listeners

1,967 Listeners

275 Listeners

2,447 Listeners

626 Listeners

583 Listeners

188 Listeners

230 Listeners

84 Listeners

576 Listeners

65 Listeners

101 Listeners

403 Listeners

142 Listeners

74 Listeners