Data Science – Program

8:00 – 9:00
Registration and Breakfast
9:00 – 9:15 Welcome Remarks & Program Overview
Video Presentation
Kirby Johnson on behalf of Diane L. Souvaine, Vice Provost for Research, Tufts University
Soha Hassoun, Associate Professor and Chair of Computer Science, School of Engineering
9:15 – 10:15 Session I: Big Data Analysis: From Fundamentals to Engineering Applications (click here for videos and abstracts)
Redefining Class Definitions Using Constraint-Based Clustering — Carla Brodley
Big Data Visual Analytics: A User-Centric Approach — Remco Chang
Big Data for Big Floods: Can We Break the Predictability Limits? — Shafiqul Islam
Computational Sensing: Bringing Physics to Big Data — Eric L. Miller
10:15 – 10:30 Coffee Break
10:30 – 12:00 Session II: Data-Driven Discoveries (click here for videos and abstracts)
Harnessing Big Data in Psycholinguistics: Design and Data — Ariel Goldberg
MODIS Satellite Data and GAM models to Examine Urbanization as an Independent Predictor of Endothelial Dysfunction in a Large Southeast Asia Population — Kevin Lane
Virtual Cohorts and Big Data Analytics in Epidemiology — Elena Naumova
Using GIS, Spatial Epidemiology, and Hot Spot Analysis to Target  Nutrition Services — Thomas J. Stopka
Using Big Data to Study Urban Sentiments: Twitter Data vs. Published Meeting Minutes — Justin Hollander
Finding – and Not Crossing – The Ethics and Privacy Line in Using Big Data — Lisa Gualtieri
12:00 – 1:30
Lunch and Digital Poster Session
1:30 – 3:00 Session III: Data Enabling Medicine (click here for videos and abstracts)
Impact of Obesity on Intestinal Tumorigenesis – Searching for Answers in the Microbiome, Metabolome and Transcriptome: Studies by the HNRCA Cancer Cluster and Tufts Computational Biology Initiative — Jimmy W. Crott
Data Problems in Gut Microbiota Metabolomics — Kyongbum Lee
High-throughput Genetic Analysis of a Bacterial Pathogen — Andrew Camilli
Large Scale EEG Monitoring:  Is Dynamic Seizure Sensing Possible? — Chris Dulla
Understanding the Wiring of the Brain: Genome-Wide Analysis of Local Protein Synthesis — Joshua Ainsley
Loopfinder: Comprehensive Analysis of Hot Loops at Protein Interfaces as Targets for Macrocycle Inhibitors — Joshua Kritzer
3:00 – 3:45 Panel Presentation
Video Presentation
Infrastructural and Education Needs for Data Science at Tufts — Carla Brodley, Ariel Goldberg, Shafiqul Islam, and Thomas J. Stopka 
Moderator  Paul Stark, Professor and Director of Statistics, School of Dental Medicine
3:45 – 3:50 Closing Remarks on Research Day on Data Science
Soha Hassoun, Associate Professor and Chair of Computer Science, School of Engineering

 

Distler Performance Hall Granoff Music Center 20 Talbot Avenue, Medford