- Introduces basics of mathematical and abstract methods for understanding, predicting, and modifying collective behavior in cellular systems- Targets biomedical professionals as well as computational specialists who are willing to take advantage of novel high-throughput data acquisition technologies
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1. Change/differential equations 2. Consensus/linear algebra 3. Alternative infrastructure/series, numerical methods 4. Systems/input into output 5. Managing processes/control 6. Best choices/optimization 7. Chance encounters/random processes 8. Organized behavior/networks
Since childhood Dr. Steinschneider had been interested in general biology and chemistry, later on focusing more on plant and microbiology, genetics, and especially biochemistry. Having earned a BSc in agriculture and a PhD in molecular biology, his professional life was centered on research in a wide range of molecular life sciences at leading research universities in the United States and abroad where he also taught undergraduate- and graduate-level courses. His interests were in the infrastructure for investigating collective behavior in cellular systems and their processes.