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Researcher
- Adam M Guss
- Srikanth Yoginath
- Andrzej Nycz
- James J Nutaro
- Josh Michener
- Kuntal De
- Pratishtha Shukla
- Sudip Seal
- Udaya C Kalluri
- Xiaohan Yang
- Alex Walters
- Ali Passian
- Austin Carroll
- Biruk A Feyissa
- Bryan Lim
- Carrie Eckert
- Chris Masuo
- Clay Leach
- Debjani Pal
- Gerald Tuskan
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Kyle Davis
- Liangyu Qian
- Nance Ericson
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Rangasayee Kannan
- Serena Chen
- Tomas Grejtak
- Varisara Tansakul
- Vilmos Kertesz
- Vincent Paquit
- Yang Liu
- Yiyu Wang

ORNL has developed bacterial strains that can utilize a common plastic co-monomer as a feedstock. This will help enable modern, petroleum-derived plastics to be converted into value-added chemicals.

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

We have developed bacterial strains that can convert sustainable feedstocks and waste feedstocks into chemical precursors for next generation plastics.

ORNL has identified a panel of novel nylon hydrolases with varied substrate and product selectivity.

Genetic modification of microbes that are thermophiles—ones that grow at elevated temperatures—is extremely challenging. Tools developed for E. coli, a typical host for protein production, typically do not function at elevated temperatures.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture

An innovative system for automating the surveillance and manipulation of plant tissues using advanced machine vision and robotic tools.

An ORNL team has developed a method for screening for an immunoregulatory protein, which includes assessing the sequence of a candidate protein to determine if it is an immunoregulatory protein when at least one plasminogen-apple-nematode (PAN) domain with a consensus sequence