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Information on Northwestern Computational Research Day

Modified: March 16, 2018

Northwestern Computational Research Day will take place on April 10 on the Evanston campus. This event allows Northwestern researchers, faculty, students and staff from diverse disciplines to come together to learn, connect and share their experiences with computational research. A complimentary lunch and cocktail reception will be provided for registered attendees.

Please see below for highlights and remember to register for the event!

The Opening Remarks will be given by Adrian Randolph, Dean of Weinberg College, WCAS Administration.

Keynote speakers:

  • At Home in a Storm of Stars: Observing, Simulating, and Pondering the Milky Way Galaxy presented byShane Larson, Associate Director of CIERA (Center for Interdisciplinary Exploration and Research in Astrophysics) and WCAS Research Associate Professor of Physics and Astronomy
  • Reproducibility in Computational Research: Code, Data, Statistics, and Implementation presented byVictoria Stodden, Associate Professor of Information Sciences, University of Illinois at Urbana

Visualization Competition: Have you created a visualization for lab use, curriculum, research, or as a figure for a poster or paper? Northwestern IT is hosting a Visualization Competition and invites Northwestern undergraduate students, graduate students, and postdocs to submit their visualizations for consideration. A$500 Visa Gift Card will be awarded to the top submission in each category. Please be sure to submit your entry by March 23. Submit your entry.

Poster Contest: This contest is a chance for you to present your research to Northwestern faculty, staff, students, and postdocs. All areas of research are welcome and postdocs, graduate students, and undergraduate students at Northwestern are eligible to present their research at the poster session. Students are eligible to win a $200 or $300 Visa gift card or $1500 toward a conference or research experience of their choice. The deadline has been extended to March 23. Submit your poster abstract.

Workshops: Breakfast will be provided for workshop participants. Registration (in addition to the event registration) is recommended; walk-ins will be accommodated as space permits.

  • Serverless Cloud Computing with AWS S3 and Lambda: Wondering what you can do with cloud computing beyond running a server? Using Amazon Web Services (AWS) technologies like S3 for storage and Lambda for serverless computing, you can set up workflows to automatically process uploaded data files, create APIs, schedule routine computing tasks, and respond to events. In this workshop you’ll set up a process to automatically execute code when files are uploaded to an S3 bucket. 
  • Python: Intro to Numpy and SciPy: Numpy and SciPy are the core libraries for scientific computing with Python. They are also the foundation of data science and machine learning packages that are built on top of them. Come learn how to create and manipulate arrays, read and write data, and use linear algebra and basic statistical functions. Participants should have a basic familiarity with Python.
  • Intro to Web GL for Visualization: Are you interested in creating interactive visualizations you can display in a web browser? The goal of this workshop is to demystify 3D visualization with a small, widely available tool set. This workshop will explain high level concepts and walk through development a 3D visualization using HTML, JavaScript and WebGL.
  • Bayesian Model Fitting in Python with emcee: In this workshop we will learn how to use the Python emcee package to fit a function to noisy data. They will choose a simple example to work through and then discuss how to extend the method to work with your own data. This workshop assumes you have basic Python programming skills and a basic understanding of Bayesian model fitting. 

Birds of a Feather session: Come to discuss with peers on the following topics.

  • Overcoming Data Management Challenges: Discussion leaders: Cunera Buys, Librarian, Digital Scholarship Services; Northwestern University Library; Dong Fu, Solutions Architect, Central Information Technology; Feinberg School of Medicine; Tirzah Abbott, Microscopy & Imaging Specialist Senior, Atomic and Nanoscale Characterization Experimental Center
  • Communicating Your Research Effectively: Discussions leaders: Joe Germuska, Executive Director, Knight Lab; Michelle Paulsen, Program Director, Reach for the Stars (an NSF GK12 Program) and Ready, Set, Go; Sara Grady, Assistant Director, Science Communication, Science in Society

Research Presentations

  • Learning Probabilistic Models for Graph Partitioning and Community Detection presented byAravindan Vijayaraghavan, Assistant Professor, Electrical Engineering and Computer Science; Robert R. McCormick School of Engineering and Applied Science
  • Analysis Animation: A New Paradigm for Exploring Population Omics Data presented by Denise Scholtens, Chief of Biostatistics in the Department of Preventive Medicine and Professor of Preventive Medicine (Biostatistics) and Neurological Surgery; Feinberg School of Medicine
  • Mechanistic Modeling of the (Bio)Conversion of (Bio)Macromolecules presented by Linda Broadbelt, Professor, Chemical and Biological Engineering; Robert R. McCormick School of Engineering and Applied Science
  • Balloon-borne Observations of the Birth of Stars and Planets in Magnetized Galactic Clouds  presented by Giles Novak, Professor, Physics and Astronomy; Weinberg College of Arts and Sciences
  • Leveraging computational processes and neuroimaging data to understand the developing human brain presented by Elizabeth Norton, Assistant Professor, Department of Communication Sciences and Disorders and Director of the Language, Education and Reading Neuroscience (LEARN) Lab; School of Communication
  • Using data to understand the social and systemic drivers of HIV presented by Michelle Birkett, Assistant Professor of Medical Social Sciences and Preventive Medicine; Feinberg School of Medicine
  • Vision Science in Visualization presented by Christie Nothelfer, PhD candidate, Brain, Behavior & Cognition program in the Department of Psychology; Weinberg College of Arts and Sciences
  • Good, Fast, Cheap: Applying the Iron Triangle to Big Data Governance presented by Justin Starren, Chief of Preventive medicine-health and Biomedical Informatics in the Department of Preventive Medicine and Professor of Preventive Medicine (Health and Biomedical Informatics) and Medical Social Sciences; Feinberg School of Medicine

Register today!

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