Participant, Photonics and Quantum Technology Tianqi Tang, UC Santa Barbara: “Hardware Modeling & Efficient Architectural Exploration for Machine Learning Accelerator Design”
Participant Jina Suh, University of Washington/Microsoft Research: “Designing Mental Health and Wellbeing Interventions through Computational and Contextual Understanding”
Participant Mansi Sood, Carnegie Mellon University: “Heterogeneous models for designing resilient topologies and controlling spreading phenomena in real-world networks”
Participant Kaitlin Nicole Smith, University of Chicago: “Decoherence Mitigation in Quantum Computers through Instruction Scheduling”
Participant Liyue Shen, Stanford University: “Exploiting Prior Knowledge in Physical World Incorporated with Machine Learning for Solving Medical Imaging Problems”
Participant Paria Rashidinejad, UC Berkeley: “Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism”
