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#### \n Bio

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**“Evolution
ary Dynamics of Tumor Progression****”**

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Dr. Bozic is an Associate P
rofessor in the Department of Applied Mathematics at the University of Washington. She d
evelops mathematical and computational models to study the evolutionary dy
namics of cancer. Her research interests include mathematical biology\, st
ochastic processes and analysis of genomic and clinical data.

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▶RECORDI
NG

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#### \n Abstract

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**“****Evolutionary Dynamics of Tumor Progression****”
**

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<
a href='https://icm.jhu.edu/wp-content/uploads/2022/11/Flyer-Image_Ivana-B
ozic.png'><
/a>

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Cancer is the result of a stochastic evolutionary process char
acterized by the accumulation of mutations that are responsible for tumor
initiation\, progression\, immune escape\, and drug resistance\, as well a
s mutations with no effect on the phenotype. Mathematical modeling can be
used to describe the dynamics of tumor cell populations and to obtain insi
ghts into the hidden evolutionary processes leading to cancer. I will pres
ent recent approaches that employ stochastic models of cancer evolution to
quantify evolutionary dynamics of chronic lymphocytic leukemia and colore
ctal cancer in patients\, and their implications for interpretation of can
cer sequencing data.

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▶RECORDING

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