Dr. Yujing Song

Assistant Professor

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Biography

Yujing Song is a Research Assistant Professor at NYU Tandon School of Engineering, specializing in Mechanical and Aerospace Engineering. She earned her Bachelor of Science in Energy Engineering from Zhejiang University in 2014, followed by a Master of Science and Doctor of Philosophy in Mechanical Engineering from the University of Michigan, Ann Arbor, in 2016 and 2020, respectively. Prior to joining NYU, she completed a postdoctoral fellowship at the University of Michigan and worked as a Senior Research Scientist at 454 Bio, focusing on the development of open-source, cost-effective, portable next-generation sequencing platforms. Dr. Song's research interests encompass single-molecule detection, spatial transcriptomics, proteomics, point-of-care microfluidic devices, organ-on-chip systems, AI-driven biomarker-guided precision medicine, and targeted nanomedicine delivery. She is actively developing next-generation ultrasensitive biosensing platforms for detecting proteins and tumor DNA/RNA in clinical settings. Additionally, Dr. Song is committed to building a highly interdisciplinary research team with expertise in chemical and molecular assays, instrumentation, micro- and nano-fabrication, mechatronics, and optics, along with applying machine learning algorithms in bioengineering. She is also involved in recruiting undergraduate and Master’s students from various engineering backgrounds to join her team.

Research Interests

Experience

NGS Chip Scientist

— Present

Cygnus Bio • Ann Arbor, MI

Worked on the development of next-generation sequencing chip technologies.

Senior Research Scientist

— Present

454 Bio • Ann Arbor, MI

Focused on developing open-source, cost-effective sequencing platforms.

Awards

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Excellence Award - PEdELISA

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Precision Health Scholar

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Annual Speaker Award

Requirements for New York University Tandon School of Engineering

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree in Electrical and/or Computer Engineering or preparatory discipline Sufficient mathematics preparation
Application Checklist
  • Online application
  • Official transcripts
  • Two letters of recommendation
  • Statement of Purpose
  • Resume/CV
Specialization Notes

Administered by the Department of Electrical and Computer Engineering.