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How are #energy & #reducing power generation connected with plant #stress response? How can a #root fungus alleviate metabolic #bottlenecks? To learn more check out the #largest ever metabolic model @iScience_CP thanks to funding by @NSF & @ENERGY

Proud to be named as @UNLincoln @NebEngineering’s Richard L. & Carol S. McNeel Associate Professor of Chemical & Biomolecular Engineering. Thanks to Dean @UNLLancePerez for the award and @NSF, @NIGMS, @USDA, @NPPDnews energy center & @NECornBoard for funding our research!


In @AIChE #AIChEAnnual 2023, we will talk about our
@NSF & @NIGMS funded work on #nonmodel & #pathogenic microbes, plants & #innate immune system. Join us if you can! @UNLincoln @NebEngineering @AIChECAST10


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The SSBio lab is currently seeking one postdoc. Please refer to the opportunities tab for more details.

Andrea NSF Award

Undergraduate student Andrea Goertzen won the NSF Graduate Research Fellowships Program. Congratulations!

Travel Fellowhip

Graduate students Niaz Bahar Chowdhury, Mark Kathol, and Dianna Morris received School of Graduate Study Travel Fellowship. Congratulations!

Niaz Bhai Award

Congrats to graduate student Niaz Bahar Chowdhury for being a 2022 recipient of the Milton E. Mohr Biotechnology award for academic excellence and the likelihood to succeed in this field!

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Research Presentation

Dissertation defense of Mohammad Mazharul Islam

Dissertation Defense of Wheaton L. Schroeder

Introducing the ORKA to dFBA

EuGeneCiD: Toward an Optimization-Based Tool for Synthetic Biology Design

35c: An integrated study of Staphylococcus aureus metabolism

R. palustris Lignin Catabolism and PHBV Production_AIChE 2020

620h: Introducing an Optimization- and Explicit Runge-Kutta- Based Approach (ORKA) to dFBA

613c: Predicting Enzyme Kinetics and Regulation from dFBA through KOPTIC

3gt: Toward Interventions Aiding the Future Viability of Important Crops through Systems Biology

338a: OptFill: A Tool for Infeasible Cycle-Free Gapfilling of Stoichiometric Metabolic Models

118e: Computation-Driven Analysis of Model Polyextremotolerant Fungus Exophiala dermatitidis