Last updated on Tuesday, December 3, 2024
Make updates ->
 Name : Garrett Roell
Title : Assistant Professor
Unit : Department of Molecular Biosciences & BioEngineering
Address : 1955 East-West Rd.
Honolulu, HI 96825
Room : Ag Sciences Building 402C
Phone : (808) 956-8048
Fax : (808) 956-3542
E-mail : groell@hawaii.edu
Website : https://lab.garrettroell.com
Specialties : Metabolic modeling, machine learning, fermentation optimization, multi-omics analysis
Professional Prep/Appointments :
Post-doctoral fellow, Washington University in St. Louis, 2023
Ph.D. Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, 2022
B.S. Biomedical Engineering, Tufts University, 2016
Projects :
1. Genome-scale modeling of Yarrowia lipolytica
2. Metabolomic analysis of Rhodococcus opacus
3. HATCH S1090: AI in Agroecosystems
Courses Taught:
| BE 437 |
Biosystems Unit Operations |
3 credits |
| BE 447 / MBBE 447 |
AI for Bioprocesses |
3 credits |
| MBBE 610 |
Molecular Biosciences Seminar |
1 credit |
Research Interests :
The Roell lab is working to further the field of synthetic biology. We believe that many products that are typically derived from fossil resources can be sustainably and economically made from fermentations with yeast or bacteria. Historically, the costs associated with strain development and bioprocess optimization have made this approach prohibitively expensive. Our research focuses on developing tools to leverage bioreactor operations, fermentation results, and omics data to bridge the gap between research and real-world application to make bio-derived products a commercial reality.
Publications :
6. AM Worland, Z Han, J Maruwan, Y Wang, ZY Du, YJ Tang, WW Su*, GW Roell*. Elucidation of triacylglycerol catabolism in Yarrowia lipolytica: How cells balance acetyl-CoA and excess reducing equivalents. Metabolic Engineering, 85, pp. 1-13 (2024) (link)
5. Z Xiao, W Li, …, GW Roell*, Y Chen*, YJ Tang*. Generative artificial intelligence GPT-4 accelerates knowledge mining and machine learning for synthetic biology. ACS Synthetic Biology. (2023) * = corresponding author (link)
4. GW Roell, C Schenk, …, YJ Tang, HG Martin. A high-quality genome-scale model for Rhodococcus opacus metabolism. ACS Synthetic Biology. 12 (2023) (link)
3. GW Roell, A Sathish, N Wan, …, YJ Tang, FS Bao. A comparative evaluation of machine learning algorithms for predicting syngas fermentation outcomes. Biochemical Engineering Journal. 186 (2022) (link)
2. GW Roell, RR Carr, …, M Foston, G Dantas, TS Moon, YJ Tang. A concerted systems biology analysis of phenol metabolism in Rhodococcus opacus PD630. Metabolic Engineering, 55, pp. 120-130 (2019) (link)
1. GW Roell, J Zha, RR Carr, MAG Koffas, SS Fong, YJ Tang. Engineering microbial consortia by division of labor. Microbial Cell Factories. 18, pp. 1–11 (2019) (link)
|