Sara Hamis
Biträdande universitetslektor vid Institutionen för informationsteknologi; Systemteknik
- Telefon:
- 018-471 10 61
- E-post:
- sara.hamis@it.uu.se
- Besöksadress:
- Hus 10, Regementsvägen 10
- Postadress:
- Box 337
751 05 UPPSALA
Ladda ned kontaktuppgifter för Sara Hamis vid Institutionen för informationsteknologi; Systemteknik
Kort presentation
Jag är biträdande universitetslektor i maskininlärning, Wenner-Gren Fellow och Beijerforskare. Min forskning fokuserar på att utveckla matematiska modeller och beräkningsmetoder som hjälper forskare att förstå och förutsäga cancerdynamik. Jag leder forskargruppen Artificiell Intelligens och Matematik för Onkologi (AIMOn).
Läs mer om min forskning här: https://sarahamis.github.io
Nyckelord
- markov chain monte carlo algorithms
- game theory
- partial differential equations
- mathematical modelling
- bayesian statistics
- mathematical biology
- adaptive dynamics
- ordinary differential equations
- point processes
- stan
Publikationer
Senaste publikationer
-
Ingår i Communications Biology, 2026
- DOI för Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma
- Ladda ner fulltext (pdf) av Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma
-
A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
Ingår i Bulletin of Mathematical Biology, 2026
- DOI för A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
- Ladda ner fulltext (pdf) av A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
-
Ingår i Bulletin of Mathematical Biology, 2025
- DOI för A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
- Ladda ner fulltext (pdf) av A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
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Phenotypic heterogeneity in temporally fluctuating environments
Ingår i Physical Biology, 2025
- DOI för Phenotypic heterogeneity in temporally fluctuating environments
- Ladda ner fulltext (pdf) av Phenotypic heterogeneity in temporally fluctuating environments
-
Ingår i Journal of Mathematical Biology, 2025
- DOI för Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach
- Ladda ner fulltext (pdf) av Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach
Alla publikationer
Artiklar i tidskrift
-
Ingår i Communications Biology, 2026
- DOI för Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma
- Ladda ner fulltext (pdf) av Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma
-
A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
Ingår i Bulletin of Mathematical Biology, 2026
- DOI för A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
- Ladda ner fulltext (pdf) av A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
-
Ingår i Bulletin of Mathematical Biology, 2025
- DOI för A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
- Ladda ner fulltext (pdf) av A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
-
Phenotypic heterogeneity in temporally fluctuating environments
Ingår i Physical Biology, 2025
- DOI för Phenotypic heterogeneity in temporally fluctuating environments
- Ladda ner fulltext (pdf) av Phenotypic heterogeneity in temporally fluctuating environments
-
Ingår i Journal of Mathematical Biology, 2025
- DOI för Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach
- Ladda ner fulltext (pdf) av Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach
-
Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation
Ingår i Bulletin of Mathematical Biology, 2025
- DOI för Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation
- Ladda ner fulltext (pdf) av Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation
-
Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
Ingår i PloS Computational Biology, 2025
- DOI för Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
- Ladda ner fulltext (pdf) av Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
-
Ingår i Journal of Theoretical Biology, 2025
- DOI för Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells
- Ladda ner fulltext (pdf) av Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells
-
Ingår i npj Systems Biology and Applications, 2024
- DOI för Simulating BRAFV600E-MEK-ERK signalling dynamics in response to vertical inhibition treatment strategies
- Ladda ner fulltext (pdf) av Simulating BRAFV600E-MEK-ERK signalling dynamics in response to vertical inhibition treatment strategies