March 20, 2019
12:00PM
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1:00PM
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2019-03-20 11:00:00
2019-03-20 12:00:00
Online Colloquium: Franziska Michor - Mathematical modeling of cancer evolution
Franziska MichorProfessor of Computational Biology, Department of Biostatistics, Harvard UniversityCancer represents one of the biggest problems for modern societies. In 2017, the cancer incidence was projected to be around 1.7 million cases with an estimated mortality of roughly 601,000. By 2020, cancer deaths worldwide could reach 10 million. Therefore, an important goal of life science research is to improve tumor diagnostics and anti-cancer treatment options to alleviate cancer-related morbidity and mortality. We are interested in using the tools of theoretical evolutionary biology, applied mathematics, statistics, and computational biology to address important questions in cancer research. In this talk I will present recent work in my lab.Click here for detailed instructions on how to participate.
Participate virtually
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2019-03-20 12:00:00
2019-03-20 13:00:00
Online Colloquium: Franziska Michor - Mathematical modeling of cancer evolution
Franziska MichorProfessor of Computational Biology, Department of Biostatistics, Harvard UniversityCancer represents one of the biggest problems for modern societies. In 2017, the cancer incidence was projected to be around 1.7 million cases with an estimated mortality of roughly 601,000. By 2020, cancer deaths worldwide could reach 10 million. Therefore, an important goal of life science research is to improve tumor diagnostics and anti-cancer treatment options to alleviate cancer-related morbidity and mortality. We are interested in using the tools of theoretical evolutionary biology, applied mathematics, statistics, and computational biology to address important questions in cancer research. In this talk I will present recent work in my lab.Click here for detailed instructions on how to participate.
Participate virtually
America/New_York
public
Franziska Michor
Professor of Computational Biology, Department of Biostatistics, Harvard University
Cancer represents one of the biggest problems for modern societies. In 2017, the cancer incidence was projected to be around 1.7 million cases with an estimated mortality of roughly 601,000. By 2020, cancer deaths worldwide could reach 10 million. Therefore, an important goal of life science research is to improve tumor diagnostics and anti-cancer treatment options to alleviate cancer-related morbidity and mortality. We are interested in using the tools of theoretical evolutionary biology, applied mathematics, statistics, and computational biology to address important questions in cancer research. In this talk I will present recent work in my lab.
