Weitz Group @ Georgia Tech

Theoretical Ecology and Quantitative Biology

BIOL 2400: Mathematical Models in Biology
Fall 2008/2009/2012/2016

An introduction to modeling deterministic and random events in biology. Topics include population dynamics, disease dynamics, biostatistics, evolutionary theory, game theory, and special topics. Computational work will be done in Excel.

BIOL 4422/6422: Theoretical Ecology
Spring 2008/2010/2012

Advanced modeling and analysis of ecological systems. Techniques will be developed in the context of applications. Theoretical concepts to be covered include mean field analysis, spatial models, delay equations, adaptive dynamics, game theory, metapopulation models, scaling theory.

Foundations in Quantitative Biosciences
Fall 2016

The class is organized around the understanding of key advances in the biosciences, one organizing unit at a time, in which the advances depended critically on quantitative methods and reasoning. Both foundational advances and recent challenges will be discussed. Each week, students will be exposed to:

  • methods for developing and analyzing quantitative models;
  • logic for how to reason given uncertainty in the biosciences;
  • computational skills to implement and support a thorough understanding of stochastic and dynamic modeling at the interface between mathematical formalism and biological data.

The overall objective of the course is to teach graduate students how to reason quantitatively in the biosciences given uncertainty in mechanisms, rates and reliability of measurements.

BIOL 4755/BIOL 8803: Mathematical Biology aka "Introduction to Systems Biology"
Spring 2009/2011/2015

Quantitative systems biology, with an emphasis on building models of how cells produce and regulate proteins: from gene regulation to complex networks to examples of chemotaxis, kinetic proofreading, and collective behaviors. The textbook, An Introduction to Systems Biology, is accessible to math, science, and engineering, majors. The aim will be to develop quantitative toolkits to analyze the complex mechanisms behind the regulation, design, and operation of biological circuits. Computer programming will be done in Matlab, though no prior experience with Matlab is necessary for the course.

Readings in Viral Ecology
Spring 2013

We will address recent advances in the empirical, experimental and theoretical investigation of the role of viruses in natural environments, spanning environmental to human systems. We will focus primarily on the viruses of microbes – such viruses are highly abundant and highly diverse and yet their functional roles remain poorly understood. Interactive discussion of papers will shed light on common principles and processes relevant to understanding viral ecology.