Match tier Confirmed
Presence Current · Arkansas
Last published 2023
Sources OpenAlex · ORCID
Refreshed 2026-10-05

Ryan C. Rollings

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Principal Machine Learning Engineer

Also affiliated: Harvard University (2016)

10 h-index 30 pubs 2,063 cited

  • Nanopores
  • Lipid Bilayers
  • Porosity
  • Protein Transport
  • Nanotechnology
  • Humans
  • Animals
  • Amyloid beta-Peptides
  • Electrochemical Techniques
  • Models, Chemical
  • Models, Molecular
  • Microscopy, Electron, Transmission
  • Protein Unfolding
  • DNA, Viral
  • Particle Size

Biography and Research Information

OverviewAI-generated summary

Ryan Rollings studies protein aggregation and molecular interactions using nanopore technology and atomic force microscopy. His work investigates the characterization of tau and tubulin protein aggregation, relevant to neurological disease mechanisms. Rollings has published 30 papers, with his work cited over 2,000 times, and holds an h-index of 10. He collaborates with researchers at the University of Arkansas at Fayetteville, including Bo Ma, Steve Tung, Jiali Li, and Haopeng Li, on shared publications. His research utilizes electrochemical techniques and models chemical processes, with applications in studying amyloid beta-peptides.

Metrics

  • h-index: 10
  • Publications: 30
  • Citations: 2,063

Positions

  • Principal Machine Learning Engineer 2024–present
    Realtor.com ORCID
  • Principal Machine Learning Engineer publications 2010–2023
    University of Arkansas at Fayetteville ORCID
  • Senior/Principal Machine Learning Engineer 2020–2024
    Upside ORCID
  • Data Scientist → Senior Machine Learning Scientist 2018–2020
    CS Disco ORCID
  • Research Scientist 2016–2018
    Gamalon ORCID
  • Postdoctoral Research Fellow -> Assoc. 2013–2016
    Harvard University Physics ORCID

Selected Publications

  • Tau and tubulin protein aggregation characterization by solid-state nanopore method and atomic force microscopy (2023)
    Journal of Applied Physics 10 citations DOI OpenAlex
  • Real-time shape approximation and fingerprinting of single proteins using a nanopore (2016)
    Nature Nanotechnology 484 citations DOI OpenAlex
  • The effects of geometry and stability of solid-state nanopores on detecting single DNA molecules (2015)
    Nanotechnology 25 citations DOI OpenAlex
  • Characterization of Protein Unfolding with Solid-state Nanopores (2014)
    Protein and Peptide Letters 62 citations DOI OpenAlex
  • Characterizing Shape, Dipole Moment, and Rotation of Single Proteins in Nanopores (2014)
    Biophysical Journal DOI OpenAlex
  • Threading Immobilized DNA Molecules through a Solid-State Nanopore at >100 μs per Base Rate (2013)
    ACS Nano 57 citations DOI OpenAlex
  • Nanopores with Fluid Walls for Determining the Shape, Dipole Moment, and Rotational Diffusion Coefficient of Non-Spherical Proteins (2013)
    Biophysical Journal 1 citation DOI OpenAlex
  • Threading Immobilized DNA through a Solid-State Nanopore with a Tip (2013)
    Biophysical Journal DOI OpenAlex
  • DNA Characterization with Ion Beam-Sculpted Silicon Nitride Nanopores (2012)
    Methods in molecular biology 5 citations DOI OpenAlex
  • Single-Particle Characterization of Aβ Oligomers in Solution (2012)
    ACS Nano 121 citations DOI OpenAlex
  • Developing Nanopores with Fluid Walls for Improved, Single-Molecule Biosensors (2012)
    Biophysical Journal DOI OpenAlex
  • Scanning‐Probe Microscopy: Probing Access Resistance of Solid‐State Nanopores with a Scanning‐Probe Microscope Tip (Small 3/2012) (2012)
    Small 3 citations DOI OpenAlex
  • K + , N a + , and M g 2+ on DNA translocation in silicon nitride nanopores (2012)
    Electrophoresis 29 citations DOI OpenAlex
  • Probing Access Resistance of Solid‐State Nanopores with a Scanning‐Probe Microscope Tip (2011)
    Small 57 citations DOI OpenAlex
  • Controlling protein translocation through nanopores with bio-inspired fluid walls (2011)
    Nature Nanotechnology 664 citations DOI OpenAlex

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Collaboration Network

35 Collaborators 7 Institutions 2 Countries

Top Collaborators

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