Sara Hamis
Associate senior lecturer/Assistant Professor at Department of Information Technology; Division of Systems and Control
- Telephone:
- +46 18 471 10 61
- E-mail:
- sara.hamis@it.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 337
751 05 UPPSALA
Short presentation
I am an Assistant Professor in Machine Learning, a Wenner-Gren Fellow and a Beijer Researcher. My research focuses on developing mathematical, statistical and computational methods that help researchers understand and predict cancer dynamics. I am spearheading the Artificial Intelligence and Mathematics for Oncology (AIMOn) research group at Uppsala University.
Read more about my research here: https://sarahamis.github.io
Keywords
- markov chain monte carlo algorithms
- game theory
- partial differential equations
- mathematical modelling
- bayesian statistics
- mathematical biology
- adaptive dynamics
- ordinary differential equations
- point processes
- stan

Publications
Recent publications
A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
Part of Bulletin of Mathematical Biology, 2026
- DOI for A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
- Download full text (pdf) of A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
Part of Bulletin of Mathematical Biology, 2025
- DOI for A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
- Download full text (pdf) of A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
Phenotypic heterogeneity in temporally fluctuating environments
Part of Physical Biology, 2025
- DOI for Phenotypic heterogeneity in temporally fluctuating environments
- Download full text (pdf) of Phenotypic heterogeneity in temporally fluctuating environments
Part of Journal of Mathematical Biology, 2025
- DOI for Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach
- Download full text (pdf) of 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
Part of Bulletin of Mathematical Biology, 2025
- DOI for Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation
- Download full text (pdf) of Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation
All publications
Articles in journal
A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
Part of Bulletin of Mathematical Biology, 2026
- DOI for A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
- Download full text (pdf) of A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
Part of Bulletin of Mathematical Biology, 2025
- DOI for A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
- Download full text (pdf) of A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
Phenotypic heterogeneity in temporally fluctuating environments
Part of Physical Biology, 2025
- DOI for Phenotypic heterogeneity in temporally fluctuating environments
- Download full text (pdf) of Phenotypic heterogeneity in temporally fluctuating environments
Part of Journal of Mathematical Biology, 2025
- DOI for Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach
- Download full text (pdf) of 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
Part of Bulletin of Mathematical Biology, 2025
- DOI for Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation
- Download full text (pdf) of Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation
Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
Part of PloS Computational Biology, 2025
- DOI for Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
- Download full text (pdf) of Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
Part of Journal of Theoretical Biology, 2025
- DOI for Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells
- Download full text (pdf) of Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells
Part of npj Systems Biology and Applications, 2024
- DOI for Simulating BRAFV600E-MEK-ERK signalling dynamics in response to vertical inhibition treatment strategies
- Download full text (pdf) of Simulating BRAFV600E-MEK-ERK signalling dynamics in response to vertical inhibition treatment strategies