Gaurav Arya

Thomas Lord Department of Mechanical Engineering and Materials Science

Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science

Gaurav  Arya Profile Photo
Gaurav Arya Profile Photo

Research Interests

Molecular modeling, molecular simulations, statistical mechanics, coarse-graining, machine learning, polymer and colloidal physics, polymer-nanoparticle composites, chromatin biophysics, DNA nanotechnology, viral DNA packaging, single-molecule force spectroscopy, nanoscale transport

Bio

My research laboratory uses physics-based computational tools to provide fundamental, molecular-level understanding of a diverse range of biological and soft-material systems, with the aim of discovering new phenomena and developing new technologies. The methods we use or develop are largely based on statistical mechanics, molecular modeling and simulations, stochastic dynamics, coarse-graining, bioinformatics, machine learning, and polymer/colloidal physics. Our current research interests fall within four main themes: genome organization and regulation; polymer-nanoparticle composites; viral-DNA-packaging; and DNA nanotechnology. Please visit our website for more details about each of these research projects.

Education

  • B.Tech. Indian Institute of Technology Delhi, India, 1998
  • Ph.D. University of Notre Dame, 2003

Trainings & Certifications

  • Postdoc (2003 - 2005) Princeton University
  • Assistant Research Scientist (2005 - 2007) New York University

Positions

  • Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
  • Professor of Chemistry

Courses Taught

  • BME 493: Projects in Biomedical Engineering (GE)
  • BME 494: Projects in Biomedical Engineering (GE)
  • BME 791: Graduate Independent Study
  • BME 792: Continuation of Graduate Independent Study
  • COMPSCI 583: Applications in Data and Materials Science
  • EGR 201L: Mechanics of Solids
  • ME 419: Molecular Modeling of Soft Matter
  • ME 555: Advanced Topics in Mechanical Engineering
  • ME 560S: Materials Science and Engineering Seminar
  • ME 582: Applications in Data and Materials Science
  • MSEG 591: Independent Study