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Keynote Speakers

Jennifer Listgarten, PhD
Senior Researcher
Microsoft Research New England

Keynote Address
Machine Learning and Statistics for Biology

Jennifer Listgarten is a Senior Researcher at Microsoft Research New England, located in Cambridge, MA. She took a long and winding road to find her current area of interest in computational biology, starting off with an undergraduate degree in Physics, followed by a Master’s in Computer Vision before completing a Ph.D. in Machine Learning at the University of Toronto. Her current focus is in machine learning and applied statistics with application to problems in biology. She works on both methods development and applications enabling new insights into basic biology and medicine. Particular areas of focus have included statistical genetics (genetic and epigenetic association studies in the presence of unknown confounders); immunoinformatics, liquid-chromatography proteomics, and microarray analysis.

For more information on how Listgarten brings machine learning and biology together, her recent interview by Talking Machines is available. For details about her work with FaST-LMM or EWASher, please visit this landing page.

Alessandro Vespignani headshotProfessor Alessandro Vespignani
Sternberg Family Distinguished University Professor
Department of Physics, College of Science
College of Computer and Information Science
Bouve’ College of Health Sciences
Northeastern University

Keynote Address
Novel Data Streams and the Modeling of Socio-Technical Systems: Challenges and Opportunities

Professor Vespignani’s research activity focuses on the interdisciplinary application of statistical and numerical simulation methods in the study of biological, social and technological networks. For several years he has been working on the characterization and modeling of complex networks. He is now focusing his research activity in modeling the spatial spread of epidemics, including the realistic and data-driven computational modeling of emerging infectious diseases, the resilience of complex networks and the collective behavior of techno-social systems.

Prior to joining Northeastern, he was J. H. Rudy Professor of Informatics and Computing at Indiana University and served as the Director of the Center for Complex Networks and Systems Research and the Associate Director of the Pervasive Technology Institute (2004-2011). Vespignani worked at the International Center for Theoretical Physics (UNESCO) in Trieste and at the University of Paris-Sud in France as a member of the National Council for Scientific Research (CNRS) before moving to Indiana University in 2004. He received his undergraduate degree (1990) and PhD (1994), both in physics and both from the University of Rome “La Sapienza.” He carried out postdoctoral research at Yale University and Leiden University.

Prof. Vespignani serves on the editorial board of several journals and is editor in Chief of EPJ Data Science (Springer). He is president-elect of the Complex Systems Society, and on the board of the Institute for Scientific Interchange Foundation. Vespignani is an elected fellow of the American Physical Society, elected member of the Academy of Europe, and fellow of the Institute for Quantitative Social Sciences at Harvard University.

Lightning Session and Q&A Panel: Vision
Panel Moderator: Janusz Konrad, Professor, Electrical & Computer Engineering, Boston University College of Engineering

Jodi CranstonPanel 1
Bigger Isn’t Always Better: Small Data in the Humanities
Professor, Department of History of Art & Architecture
Boston University College of Arts & Sciences
Presentation slides

Margrit Betke
Image and Video Computing for Data Science
Professor, Computer Science
Boston University College of Arts & Sciences

Brian Kulis
Scalable Nonparametric Learning for Flexible Data Analysis
Assistant Professor, Electrical & Computer Engineering
Boston University College of Engineering

Michael Hasselmo
Coding of Space and Time by Neurons in Entorhinal Cortex
Professor, Psychological & Brain Sciences
Associate Director, Center for Memory & Brain
Director, Computational Neurophysiology Laboratory
Boston University Graduate School of Arts & Sciences

Lightning Session and Q&A Panel: Networks
Panel Moderator: Mark Crovella, Professor and Chair, Computer Science, Boston University College of Arts & Sciences

Jason Bohland
Mining Gene Expression Data in the Mouse and Human Brain
Assistant Professor, Department of Health Sciences and Department of Speech, Language & Hearing Sciences
Boston University College of Health & Rehabilitation Sciences: Sargent College
Presentation slides

Josee Dupuis
Understanding the Genetic Architecture of Complex Human Diseases: Biomedicine, Statistics, and Large Genomic Data Sets
Professor and Interim Chair, Biostatistics
Boston University School of Public Health
Presentation slides

Plamen Ch. Ivanov
The Human Physiolome: New Big Data from Network Physiology
Research Professor, Physics Department
Director, Keck Laboratory for Network Physiology
Boston University College of Arts & Sciences
Presentation slides

Eric Kolaczyk
Statistical Network Analysis and Data Science – Things we do well, and things we’re still working on
Professor, Department of Math & Statistics, Department of Systems Engineering
Director, Program in Statistics
Boston University College of Arts & Sciences
Presentation slides

Lightning Session and Q&A Panel: Health, Markets, & Policy
Panel Moderator: Stefano Monti, Associate Professor, Boston University School of Medicine

Evan JohnsonPanel3
Adaptive Models for Profiling Tumor Evolution and Drug Response in Cancer Cell Subpopulations
Assistant Professor of Medicine
Boston University School of Medicine
Presentation slides

Ioannis Paschalidis
Predictive Health Analytics
Professor, Electrical and Computer Engineering, Systems Engineering
Director, Center for Information and Information Engineering
Boston University College of Engineering
Presentation slides

Georgios Zervas
The Impact of the Sharing Economy on the Hotel Industry: Evidence from Airbnb’s Entry into the Texas Market
Assistant Professor, Marketing
Boston University Questrom School of Business

Michael Meurer
Patent Trolls
Abraham and Lillian Benton Scholar
Professor of Law
Boston University School of Law
Presentation slides