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EECS Rising Stars 2021

EECS Rising Stars 2021

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Participant

Lydia Tingruo Liu, UC Berkeley: “Designing distributive learning algorithms for the societal good”

September 6, 2021October 5, 2021Myung-Hee Vabulas
Participant

Quanquan Liu, MIT: “Scalable and Efficient Graph Algorithms for Modern Machines”

September 6, 2021October 5, 2021Jane Halpern
Participant

Mei-Yun Lin, University of Illinois Urbana-Champaign: “Unravel the Atmospheric Escape of Heavy Ions from the Polar Wind”

September 6, 2021October 5, 2021Jennifer Donath
Participant, Photonics and Quantum Technology

Jiaoyang Li, University of Southern California: “Large-Scale Multi-Agent Coordination”

September 6, 2021October 6, 2021Jennifer Donath
Participant

Hanlin Li, Northwestern University: “Improving Labor Transparency in Social Computing Systems”

September 6, 2021October 5, 2021Jennifer Donath
Participant

Qi Lei, Princeton University: “Provable Representation Learning: The Importance of Task Diversity and Pretext Tasks”

September 6, 2021October 5, 2021Myung-Hee Vabulas
Participant

Shamya Karumbaiah, University of Pennsylvania: “The Upstream Sources of Bias: Investigating Theory, Design, and Methods Shaping Adaptive Systems in Education”

September 6, 2021October 5, 2021Jane Halpern
Participant

Eunice Jun, University of Washington: “Principles and Interactive Systems for Authoring Valid Statistical Analyses”

September 5, 2021October 5, 2021Jennifer Donath
Participant

Shalmali Joshi, Harvard University: “Towards Safe, Robust and Reliable Machine Learning for Healthcare”

September 5, 2021October 5, 2021Myung-Hee Vabulas
Participant

Shailee Jain, University of Texas Austin: “Using NLP Systems to Investigate Language Processing in the Human Brain”

September 5, 2021October 5, 2021Jennifer Donath

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