In: Student Stories
Eli Sherman named 2020 Google Machine Learning Fellow
- October 12, 2020
- Center NewsData AnalyticsStudent Stories
With the fellowship, Sherman, a PhD candidate advised by Ilya Shpitser, will investigate how machine learning can help improve clinical decision-making and allocation of healthcare resources.
Course urges caution about causation
- February 6, 2020
- Data AnalyticsStudent Stories
Malone Center graduate students teach Intersession course "Should Susan Smoke? An Introduction to Causal Inference," where each week students pore over case studies to sharpen their reasoning skills.
Deep learning course prepares students for success in AI careers
- January 27, 2020
- Machine Learning and Artificial IntelligenceStudent Stories
Machine Learning: Deep Learning, taught by Mathias Unberath, introduces students to deep learning, a subdiscipline of AI in which a computer tries to discover meaningful patterns from data to make decisions.
Enter the Surgineer
- January 13, 2020
- Robotics, Augmented Reality, and DevicesStudent Stories
Jeff Siewerdsen’s full-year course series, called Surgineering, aims to prepare graduate students to bring new engineering perspectives to the operating room.
Neural Systems Analysis Laboratory papers accepted to major conferences
The papers were penned by five doctoral candidates – Ravi Shankar, Jeff Craley, Sayan Ghosal, Niharika Shimona D’Souza, and Naresh Nandakumar – and were accepted to two different conferences.
PhD student Sergio Machaca awarded NSF Graduate Research Fellowship
In the Haptics and Medical Robotics (HAMR) Laboratory led by Jeremy Brown, Machaca is investigating how haptic feedback can improve robotic surgery training.