Lisa C. Tucker-Kellogg, PhD
Affiliations: | 2014-2023 | Duke-NUS Graduate Medical School, Singapore, Singapore, Singapore |
Area:
Computational Modeling, Molecular Bioolgy, Cancer, Wound HealingWebsite:
https://www.duke-nus.edu.sg/cscb/the-team/primary-faculty/details/Detail/lisa-tucker-kelloggGoogle:
"Lisa Tucker-Kellogg"Bio:
http://www.ltklab.org/
https://scholar.google.com/citations?user=vBQX7I0AAAAJ&hl=en
Tucker-Kellogg, Lisa, 1969- Systematic conformational search with constraint satisfaction Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Bonnie Berger | research assistant | 1991-1993 | (Computational Biology Tree) | |
| Daniel J. Kleitman | grad student | 1991-1993 | (MathTree) | |
| Carl O. Pabo | grad student | 1993-1997 | (Chemistry Tree) | |
| Tomás Lozano-Pérez | grad student | 1997-2002 | MIT | |
| (Systematic conformational search with constraint satisfaction) | ||||
| Bruce Tidor | grad student | 2000-2002 | (Chemistry Tree) | |
| Michael P. Sheetz | post-doc | 2010-2014 | Columbia (Chemistry Tree) | |
Children
Sign in to add trainee| Nim, Tri Hieu | grad student | National University of Singapore | |
| N Jannah Bte Mhd Nasir | grad student | ||
| Aadya Deshpande | grad student | 2024 | Duke-NUS Medical School |
BETA: Related publications
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Publications
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| Sin WX, Jagannathan NS, Teo DBL, et al. (2024) A high-density microfluidic bioreactor for the automated manufacturing of CAR T cells. Nature Biomedical Engineering |
| Cheng RK, Jagannathan NS, Kathrada AI, et al. (2024) Computational modeling of light processing in the habenula and dorsal raphe based on laser ablation of functionally-defined cells. Bmc Neuroscience. 25: 22 |
| Aloweni FBAB, Lim SH, Agus NLB, et al. (2023) Evaluation of an Evidence-Based Care Bundle for Preventing Hospital-Acquired Pressure Injuries in High-Risk Surgical Patients. Aorn Journal. 118: 306-320 |
| Nasir NJM, Heemskerk H, Jenkins J, et al. (2023) Myoglobin-derived iron causes wound enlargement and impaired regeneration in pressure injuries of muscle. Elife. 12 |
| Ng JWK, Ong EHQ, Tucker-Kellogg L, et al. (2022) Deep learning for de-convolution of Smad2 versus Smad3 binding sites. Bmc Genomics. 23: 525 |
| Nasir NJM, Corrias A, Heemskerk H, et al. (2022) The panniculus carnosus muscle: a missing link in the chronicity of heel pressure ulcers? Journal of the Royal Society, Interface. 19: 20210631 |
| Lim LJ, Lim AJW, Ooi BNS, et al. (2022) Machine Learning using Genetic and Clinical Data Identifies a Signature that Robustly Predicts Methotrexate Response in Rheumatoid Arthritis. Rheumatology (Oxford, England) |
| Lim AJW, Lim LJ, Ooi BNS, et al. (2022) Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients. Ebiomedicine. 75: 103800 |
| Surendran A, Forbes Dewey C, Low BC, et al. (2021) A computational model of mutual antagonism in the mechano-signaling network of RhoA and nitric oxide. Bmc Molecular and Cell Biology. 22: 47 |
| Rouers A, Chng MHY, Lee B, et al. (2021) Immune cell phenotypes associated with disease severity and long-term neutralizing antibody titers after natural dengue virus infection. Cell Reports. Medicine. 2: 100278 |