Students from the University of Chicago's MS in Applied Data Science program share how they built a real-time crypto trading system for their Real Time Intelligent Systems class, and what they learned about volatility, model performance, and decision-making in fast-moving markets.

Explore the project here on GitHub: https://github.com/shreyast36/nexus-trading

In this episode of ChatADS, Daniel chats with Ben Wiebers from Career Services to break down what it actually takes to land a role in data science. Drawing on his experience as a corporate recruiter, Ben shares what hiring teams are really looking for, common mistakes candidates make, and how to stand out in a competitive job market. From building a strong narrative to navigating rejections and tailoring your applications, this episode is packed with practical advice for current students and early-career professionals.

In this episode of ChatADS, Professor Arnab Bose shares his experience working on early autonomous vehicle systems and reflects on how the field has evolved with modern AI.

With Waymo preparing to enter Chicago, the conversation explores:

• The technical foundations of autonomous driving
• Real-world deployment challenges in urban environments (hello Chicago snow)
• Ethical and regulatory considerations

This discussion offers a technical and practical look at the future of autonomous cars.