Ruth Baker
Professor of Applied Mathematics
Facts
13 properties- Instance of
- human
- Country of citizenship
- United Kingdom[3]
- Occupation
- applied mathematician, biomathematician
- Employer
- University of Oxford[4]
- Educated at
- Wadham College, University of Oxford[5][6]
- Award received
- Whitehead Prize[9]
- Doctoral advisor
- Santiago Schnell, Philip Maini[7][8]
- Doctoral student
- Kathryn Tunyasuvunakool, Christian Adam Yates, Thomas Edgar Woolley, Gabriel Rosser, Robert Ross, Paul Taylor, Charlotte Jupp, Aaron M. Smith, Deborah C. Markham, Linus J. Schumacher, Christopher Lester, Jochen Kursawe, Louise Dyson[11][12][13][14][15][16][17][18][19][20][21][22]
- Maintained by WikiProject
- WikiProject Mathematics[27]
🏷️ Also known as
en Ruth Baker
fr Ruth E. Baker
fr Ruth Elizabeth Baker
🔖 Identifiers · 12
- ISNI
- 000000012453227X
- ORCID iD
- 0000-0002-6304-9333
- VIAF cluster ID
- 313459840
- GND ID
- 106596028X
- DBLP author ID
- 139/1283
- Gateway to Research person ID
- 3DDA3C56-45C4-413F-B229-78AF167EA817
- Google Knowledge Graph ID
- /g/11bzrfsfzk
- Google Scholar author ID
- sGcXedQAAAAJ
- MR Author ID
- 793556
- Mathematics Genealogy Project ID
- 93650
- Scopus author ID
- 55645515800, 7404218884
- ZbMATH author ID
- baker.ruth-e
🔗 Connections
Author of 24
Accurate and efficient discretizations for stochastic models providing near agent-based spatial resolution at low computational cost,
An automatic adaptive method to combine summary statistics in\n approximate Bayesian computation,
Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues,
Biologically-informed neural networks guide mechanistic modeling from sparse experimental data,
Chaste: Cancer, Heart and Soft Tissue Environment,
Communication: Distinguishing between short-time non-Fickian diffusion and long-time Fickian diffusion for a random walk on a crowded lattice,
Control of diffusion-driven pattern formation behind a wave of competency,
Efficient Bayesian inference for mechanistic modelling with high-throughput data
+16 more
← Authored by 24
Accurate and efficient discretizations for stochastic models providing near agent-based spatial resolution at low computational cost,
An automatic adaptive method to combine summary statistics in\n approximate Bayesian computation,
Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues,
Biologically-informed neural networks guide mechanistic modeling from sparse experimental data,
Chaste: Cancer, Heart and Soft Tissue Environment,
Communication: Distinguishing between short-time non-Fickian diffusion and long-time Fickian diffusion for a random walk on a crowded lattice,
Control of diffusion-driven pattern formation behind a wave of competency,
Efficient Bayesian inference for mechanistic modelling with high-throughput data
+16 more
Affiliated with 3
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Summary
Ruth Baker has worked as an applied mathematician[1] and biomathematician[2].
FAQs
What did Ruth Baker do for work?
Ruth Baker worked as an applied mathematician[1] and biomathematician[2].
Where did Ruth Baker go to school?
Ruth Baker was educated at Wadham College[5] and University of Oxford[6].
What awards did Ruth Baker receive?
Honors received include Whitehead Prize[9].