David J. Ross (Fed)

David Ross is the lead scientist for the Living Measurement Systems Foundry in the Cellular Engineering Group at NIST. He currently works on methods for predictive engineering of biological function, with a focus on biomolecular sense and response systems. His most recent work has focused on large-scale measurements of genotype-phenotype landscapes and machine-learning approaches to make use of the data generated by those measurements.

Postdoctoral Research Opportunities

National Research Council Research Associateship Program at NIST:

• Rolling application deadlines Feb. 1 and Aug. 1
• US citizens only
• $74,950 annual salary plus benefits
• Please contact me directly and see the following link for further details:
  • Living Measurement Systems
  • Measurement Science and Engineering Biology

Positions for non-US citizens:

• Please contact Dr. Ross directly

Selected Publications (Google Scholar)

• “Interpretable modeling of genotype-phenotype landscapes with state-of-the-art predictive power”
  PD Tonner, A Pressman, D Ross
  bioRxiv (2021); https://doi.org/10.1101/2021.06.11.448129

• “The genotype‐phenotype landscape of an allosteric protein”
  DS Tack et al.
  Molecular systems biology 17 (3), e10179 (2021); https://doi.org/10.15252/msb.202010179

• “Genetic circuit design automation”
  AAK Nielsen, et al.
  Science 352 (6281), aac7341 (2016); https://doi.org/10.1126/science.aac7341

• “Equilibrium free energies from non-equilibrium trajectories with relaxation fluctuation spectroscopy”
  D Ross et al.
  Nature Physics 14 (8), 842-847 (2018); https://doi.org/10.1038/s41567-018-0153-5

• “Microfluidic temperature gradient focusing”
  D Ross, LE Locascio
  Analytical chemistry 74 (11), 2556-2564 (2002); https://doi.org/10.1021/ac025528w

• “Observation of short-range critical wetting”
  D Ross, D Bonn, J Meunier
  Nature 400 (6746), 737-739 (1999); https://doi.org/10.1038/23425