Schedule

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2017
Sunday, October 8th
8:15 AM

Using Emerging Open Source Technolgies to Foster Reproducability in Research

Joe Olson

SFHB131

8:15 AM - 8:45 AM

Discrete stochastic modeling for first-year biology students

Dmitry Kondrashov, University of Chicago

SFHB132

8:15 AM - 8:45 AM

Repeat and return patterns in double occurrence words

Lukas Nabergall, University of South Florida

SFHB135

8:15 AM - 8:45 AM

8:45 AM

Distributed Evolution of Spiking Neuron Models on Apache Mahout for Time Series Analysis

Andrew Palumbo, Cylance, Inc.

SFHB131

8:45 AM - 9:15 AM

Turning Monitoring Data into Simple Population Growth Models: Getting your Ducks in a Row

Holly Gaff, Old Dominion University

SFHB132

8:45 AM - 9:15 AM

Modeling Bacillus anthracis infection in vitro

Maria Macias-Bedolla, University of St Francis
Yareley Gonzalez, University of St Francis

SFHB135

8:45 AM - 9:15 AM

9:15 AM

Deep Learning in R

Troy Hernandez

SFHB131

9:15 AM - 9:45 AM

Approachable Modeling without Calculus

Erin N. Bodine, Rhodes College

SFHB132

9:15 AM - 9:45 AM

DFTD Age Structure and Vaccination Modeling

Christopher D. Bruno, University of St. Francis

SFHB135

9:15 AM - 9:45 AM

9:45 AM

Open Source Artificial Intelligence in a Biological/Ecological Context

Trevor Grant

SFHB131

9:45 AM - 10:15 AM

QUBES: a collaboration and professional development platform for quantitative biology education

Gabriela Hamerlinck

SFHB132

9:45 AM - 10:15 AM

Latent Storm Factors and their Indicators

Joy D'Andrea

SFHB135

9:45 AM - 10:15 AM