Xin Liu

Xin Liu

Xin Liu is a Research Scientist at Google Consumer Health Research. He received his PhD in Computer Science from the University of Washington in 2023. His PhD research was supported by the Google PhD Fellowship . His work is at the intersection of ubiquitous and mobile computing, machine learning, and health. In Xin's research, he studies how to enable mobile health + AI at scale, with a focus on building foundation models for sensor and consumer health data. More information: https://xliucs.github.io/

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    Google
Passive Heart Rate Monitoring During Smartphone Use in Everyday Life
Shun Liao
Paolo Di Achille
Jiang Wu
Silviu Borac
Jonathan Wang
Xin Liu
Eric Teasley
Lawrence Cai
Yun Liu
Daniel McDuff
Hao-Wei Su
Brent Winslow
Anupam Pathak
Shwetak Patel
Jim Taylor
Jamie Rogers
Ming-Zher Poh
(2025)
A Scalable Framework for Evaluating Health Language Models
Neil Mallinar
Ali Heydari
Xin Liu
Tony Faranesh
Brent Winslow
Nova Hammerquist
Ben Graef
Cathy Speed
Mark Malhotra
Shwetak Patel
Xavi Prieto
Daniel McDuff
Ahmed Metwally
(2025)
What Are The Odds? Language Models are Capable of Probabilistic Reasoning
Akshay Paruchuri
Jake Garrison
Shun Liao
John Hernandez
Jake Sunshine
Tim Althoff
Xin Liu
Daniel McDuff
arXiv (2024)
Towards a Personal Health Large Language Model
Justin Cosentino
Anastasiya Belyaeva
Xin Liu
Nick Furlotte
Zhun Yang
Chace Lee
Erik Schenck
Yojan Patel
Jian Cui
Logan Schneider
Robby Bryant
Ryan Gomes
Allen Jiang
Roy Lee
Yun Liu
Javier Perez
Jamie Rogers
Cathy Speed
Shyam Tailor
Megan Walker
Jeffrey Yu
Tim Althoff
Conor Heneghan
John Hernandez
Mark Malhotra
Leor Stern
Yossi Matias
Greg Corrado
Shwetak Patel
Shravya Shetty
Jiening Zhan
Yeswanth Subramanian
Shruthi Prabhakara
Daniel McDuff
Cory McLean
arXiv (2024)
Evidence of Differences in Diurnal Electrodermal Patterns by Mental Health Status in Free-Living Data
Daniel McDuff
Isaac Galatzer-Levy
Seamus Thomson
Andrew Barakat
Conor Heneghan
Samy Abdel-Ghaffar
Jake Sunshine
Ming-Zher Poh
Lindsey Sunden
John Hernandez
Allen Jiang
Xin Liu
Ari Winbush
Benjamin Nelson
Nicholas Allen
medRxiv (2024)
SimPer: Simple Self-Supervised Learning of Periodic Targets
Yuzhe Yang
Xin Liu
Jiang Wu
Silviu Borac
Dina Katabi
Ming-Zher Poh
Daniel McDuff
International Conference on Learning Representations (ICLR) (2023)
Large Language Models are Few-Shot Health Learners
Xin Liu
Daniel McDuff
Geza Kovacs
Isaac Galatzer-Levy
Jake Sunshine
Jiening Zhan
Ming-Zher Poh
Shun Liao
Paolo Di Achille
Shwetak Patel
ArXiv (2023)
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