Title: | Building Better Biological Models |

Speaker: | Elizabeth Skubak Wolf Assistant Professor Mathematics and Computer Science Saint Mary's College Notre Dame, IN |

Abstract: |
Randomness is inherent in many biological processes, from the dynamics of the populations in an ecosystem down to the systems of biochemical reactions occurring within a single cell. Therefore, when trying to analyze these processes, we might consider using a stochastic model — that is, one that includes some form of randomness.
Can stochastic models behave significantly differently from deterministic models? (Yes!) What might a stochastic model look like? How exactly does one use a stochastic model to say anything useful? We'll look at a few biological examples, introduce a particular stochastic model called a Markov chain, and see how, using a tool called Monte Carlo simulation, we can gain some insight into the biological systems we model. |

Location: | Palenske 227 |

Date: | 10/22/2015 |

Time: | 3:30 PM |

@abstract{MCS:Colloquium:ElizabethSkubakWolf:2015:10:22, author = "{Elizabeth Skubak Wolf}", title = "{Building Better Biological Models}", address = "{Albion College Mathematics and Computer Science Colloquium}", month = "{22 October}", year = "{2015}" }