About

Yue Liu is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at UCLA Samueli School of Engineering. His research primarily focuses on understanding the fundamental mechanical principles underlying the fate, form, and function of biological systems, with the goal of addressing interdisciplinary challenges in human health and physiology. He leads the Life Logic Laboratory (L3), which aims to decipher the mechanical, physical, and biological driving forces responsible for the development and functioning of organisms in the human body and nature. His work involves investigating morphogenesis and organogenesis through stem cell engineering, microfluidics, and quantitative models, as well as developing biomedical technologies for drug delivery and modulating biomechanical functionalities of human organs. Additionally, his research includes mechanical and physical modeling of cellular and subcellular structures and structural analysis of nano-/micro-structures in biomaterials. Yue Liu holds a Ph.D. in Solid Mechanics and an M.S. in Applied Mathematics from Brown University, and a B.S. in Theoretical and Applied Mechanics from the University of Science and Technology of China. His notable contributions are recognized through his research endeavors aimed at advancing biomedical engineering and understanding biological mechanics.

Research topics

• Computer Science
• Physics
• Nanotechnology
• Geography
• Materials science
• Optics
• Optoelectronics
• Virology
• Telecommunications
• Mathematics
• Business
• Engineering
• Remote sensing
• Astronomy
• Medicine
• Engineering physics
• Internal medicine
• Electrical engineering
• Chemistry
• Acoustics
• Chromatography
• Molecular biology

Selected publications

• Rapid One-Step Detection of Viral Particles Using an Aptamer-Based Thermophoretic Assay

  Journal of the American Chemical Society · 2021 · 122 citations

  • Chemistry
  • Chromatography
  • Nanotechnology

  (26 fM of the spike protein) is achieved in 15 min without the need of any pretreatment. As a proof of concept, the one-step thermophoretic assay is used to detect synthetic samples by spiking viral particles into oropharyngeal swabs with an accuracy of 100%. The simplicity, speed, and cost-effectiveness of this thermophoretic assay may expand the diagnostic tools for viral pathogens.

  DOI

• Promises and prospects of two-dimensional transistors

  Nature · 2021 · 1270 citations

  1st authorCorresponding
  • Computer Science
  • Nanotechnology
  • Computer Science
  DOI

• Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite

  Science China Physics Mechanics and Astronomy · 2020 · 316 citations

  • Computer Science
  • Physics
  • Remote sensing
  DOI

• Electrically controllable laser frequency combs in graphene-fibre microresonators

  Light Science & Applications · 2020 · 88 citations

  • Optoelectronics
  • Materials science
  • Optics
  DOI

• Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

  New England Journal of Medicine · 2020 · 17915 citations

  • Computer Science
  • Virology
  • Medicine

  BACKGROUND: The initial cases of novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. METHODS: We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number. RESULTS: Among the first 425 patients with confirmed NCIP, the median age was 59 years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with 8.6% of the subsequent cases. The mean incubation period was 5.2 days (95% confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at 12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number was estimated to be 2.2 (95% CI, 1.4 to 3.9). CONCLUSIONS: On the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce transmission should be implemented in populations at risk. (Funded by the Ministry of Science and Technology of China and others.).

  DOI

Recent grants

• NIH Grant R00ES017476

  NIH · $747k · 2014

• Trinucleotide Repeat Instability via DNA Damage and Repair

  NIH · $1.6M · 2013–2021

Frequent coauthors

• Weihong Tan

  Hunan University

  720 shared

• Cheng Cui

  Affiliated Hospital of Southwest Medical University

  323 shared

• Weijia Hou

  239 shared

• Liqin Zhang

  Peking University

  236 shared

• Xiangfeng Duan

  California NanoSystems Institute

  162 shared

• Yuan Wu

  158 shared

• Ying Jiang

  Shanghai University

  145 shared

• Yu Huang

  136 shared

Education

• Ph.D, Material Science Engineering

  University of California Los Angeles

  2015

• B.S., Electrical Engineering

  Zhejiang University

  2010

Awards & honors

• Presidential Fellowship at Brown University

Similar researchers at University of California, Los Angeles

• Antoni Ribash-218
• Timothy Cloughesyh-173
• Owen Witteh-170
• Yu Huangh-166
• David S. Eisenbergh-159