2019 Data Science Consortium

Attendees

Name	University	Department	Abstract Title
Dhivya Eswaran	Carnegie Mellon University	Computer Science	“SedanSpot: Detecting Anomalies in Edge Streams”
Otilia Stretcu	Carnegie Mellon University	Machine Learning	“Graph Agreement Models for Semi-Supervised Learning”
William Dula	Clark Atlanta University	Mathematical Sciences	“Application of a Contour Theory Method to Load Profiling in a Power Utility”
Ipek Ensar	Columbia University	Data Science Institute	“Exercise as medicine: Can exercise behavior predict endometriosis disease symptom severity?”
Sandrine Muller	Columbia University	Data Science Institute	“Everyday Mobility Behaviors Predict Psychological Well-Being Among Young Adults”
Marko Angjelichinoski	Duke University	Electrical and Computer Engineering	“Robust Estimation and Classification for Brain-Computer Interfaces”
Didong Li	Duke University	Mathematics	“Density Estimation on Manifolds with Fisher-Gaussian Kernels”
Robert Ravier	Duke University	Electrical Engineering	“Foundational Issues in Computational Evolutionary Biology and Political Science”
Shan Shan	Duke University	Mathematics	“Probabilistic Models on Fibre Bundles”
Daniel Ruiz-Perez	Florida International University	Computing and Information Sciences	“Predicting microbe-microbe interactions from time series metagenomic data”
Thinh Doan	Georgia Institute of Technology	Electrical and Computer Engineering & Industrial and Systems Engineering	“Distributed Decision Making on Multi-Agent Systems”
Michelle Ntampaka	Harvard University	Harvard Data Science Initiative	“A Deep Learning Approach to Galaxy Cluster X-ray Masses”
Dakota Murray	Indiana University Bloomington	Informatics	“Making sense of scientific systems”
Lanmiao He	Iowa State University	Psychology	“Being aware helps: how mindfulness and data analytics benefit students and an educational NPO”
Gianina Alin Negoita	Iowa State University	Animal Science	“Face2Face: Facial Expression Transfer”
Tuhin Sarkar	Massachusetts Institute of Technology	Electrical Engineering	“Learning Structure from Unstructured Data”
Anastasios Noulas	New York University	Center for Data Science	“Wiki-Atlas: Rendering Wikipedia Content through Cartographic and Augmented Reality Mediums”
Nan Wu	New York University	Center for Data Science	“Towards solving breast cancer screening diagnosis with deep learning”
Asmamaw Gebrehiwot	North Carolina A&T State University	Applied Science and Technology	“Flood Extent Mapping using Unmanned Aerial Vehicle Imagery”
Luiz G. A. Alves	Northwestern University	Chemical & Biological Engineering	“Reconstructing commuters network using machine learning and urban indicators”
Yian Yin	Northwestern University	Industrial Engineering and Management Science	“Quantifying dynamics of failure across science, startups, and security”
Lige Gan	Oakland University	Computer Science and Engineering	“Attention-based Multi-Source Representation Learning”
Arunima Srivastava	The Ohio State University	Computer Science and Engineering	“Interpretable and Context Based Neural Network Modeling of Histology Images”
Andrew Polasky	Penn State	Meteorology and Atmospheric Science	“Statistical Downscaling of Climate Models using self-organizing maps”
Yi-Yu Lai	Purdue University	Computer Science	“Relational Representation Learning Incorporating Textual Communication for Social Networks”
Ye Emma Zohner	Rice University	Statistics	“Bayesian Functional Regression on Manifold via Spherical Wavelets”
Baharan Mirzasoleiman	Stanford University	Computer Science	“Large-scale Combinatorial Optimization for Data Summarization and Resource-efficient Machine Learning”
Stuart Geiger	UC-Berkeley	Berkeley Institute for Data Science	“Operationalizing Conflict and Cooperation Between Automated Software Agents in Wikipedia: A Replication, Refutation, and Expansion of ‘Even Good Bots Fight.’”
Yang Junwen	University of Chicago	Computer Science	“Improving Performance and Quality of Database-Backed Software”
Yushen Dong	University of Illinois at Chicago	Mathematics, Statistics, and Computer Science	“Nonparametric interaction selection for additive model”
Oluwagbemiga Ajayi	University of Maryland Baltimore County	Information Systems	“Diagnosis Of Type II Diabetes Using Machine Learning Techniques”
Ronak Razavisousan	University of Maryland Baltimore County	Information Systems	“Two Layer Clustering Analysis of Student Migration from Twitter Posts”
Srinivas Rallapalli	University of Minnesota	Bioproducts and Biosystems Engineering	“Developing an optimized decision support framework for sustainable field-scale assessment by integrating ACPF, PTMApp, and HSPF-SAM”
Tony Cannistra	University of Washington	Biology	“Data Science Methods and Climate Change Ecology: A Scientific Imperative”
Erin Wilson	University of Washington	Computer Science and Engineering	“Using microorganisms to solve macro problems: untangling the genetic circuitry of methane-eating bacteria”
Mina Karzand	UW Madison	Wisconsin Institute for Discovery	“Active Learning in the Overparameterized and Interpolating Regime”
Najibesadat Sadati	Wayne State University	Industrial and Systems Engineering	“Dynamic Resource Allocation for Coordination of Inpatient Operations in Hospitals”