The eScience Institute is pleased to announce data science office hours in the WRF Data Science Studio

A collection of logos from organizations that offer office hours

Our program brings together expertise from the eScience data scientists, UW libraries, UW-IT, the Center for Statistics and the Social Sciences (CSSS), Amazon Web Services, MathWorks, and Tableau to help triage your challenges in data-intensive science – including cloud computing – and steer you towards appropriate solutions.

We may offer immediate help, schedule a longer meeting with our team to understand the problem more deeply, or refer you to faculty on campus with relevant expertise.

In addition to direct assistance and triage, we see office hours as an opportunity to brainstorm about data-intensive research questions and approaches.

Office Hours Calendar

Office Hours By Program or Department

eScience Data Scientist Hours

We encourage questions from any area of computing in science, but tend to focus on data management, predictive analytics, and visualization.

Our goals in running this program are to help UW broadly excel at data-intensive science while also better understanding and cataloging the challenges UW researchers face in this area, which help us inform our own collaborative research priorities. We fully expect that some of these discussions will lead to productive collaborative research opportunities.

Data Scientists are available by appointment during the summer; otherwise office hours are cancelled until the fall quarter.

See participant bios

UW Librarian Hours

During each two-hour slot, librarians will be on hand to provide support and guidance in their relative areas of expertise.

This includes support for finding and accessing data, data management planning, data organization, reuse of data, data sharing and storage, data citation, instruction, literature review, publications, citation management tools, physics / astronomy / mathematics research, and more.

Physics/Astronomy/Math Librarian Hours:
By appointment.

Data Librarian Hours:
Available by appointment

Data Visualization Librarian Hours:
Email for appointment.

See participant bios

Cloud Computing

Office hours are offered to help researchers, UW IT professionals, and students learn about the capabilities of cloud computing. We can review platforms such as AWS, Microsoft Azure, and the Google Cloud Platform, discuss costs and grant opportunities, and help you connect with other research teams in the community with similar interests and experiences. Our first priority is to determine whether the cloud can save you time as well as lower your operating costs, improve your data security and give you a working environment that is as close as possible to what you already know.

Hours:
Wednesdays, 10 a.m. to 12 p.m.

See participant bios

UW-IT EIIA – Tableau & Analytics

The Enterprise Information Integration and Analytics (EIIA) team is able to provide information and support for Tableau and UW’s enterprise data offerings. Please come talk to us if you have questions about:

Tableau

  • Licensing
  • Use cases
  • Technical issues

Enterprise Information Integration and Analytics

  • What’s available?
  • How do I get access?
  • What tools can I connect with?

Hours
Wednesdays, 9 to 10 a.m.

See participant bios

Center for Statistics and the Social Sciences (CSSS) Statistical Consulting

CSSS provides free statistical consulting to current UW faculty, staff, and students in affiliated departments. Our consultants offer guidance at any stage of a project from study design and planning through the selection statistical methods to the interpretation of model results. However, we recommend involving a statistician at the earliest stage possible, as this ensures the best scientific foundation for statistical analyses. Please note that CSSS consultants do not generally provide statistical software support nor do consultants run analyses for consulting clients.

Services

  • Assistance with study planning and design
  • Review of the analysis section of proposals and reports
  • Advice on data visualization and presentation
  • Assistance with the choice and application of statistical methods
  • Development of specialized statistical methods

Hours
To be announced for summer quarter.

http://www.csss.washington.edu/Consulting

Mathworks Hours

eScience has partnered with Mathworks in order to provide students, faculty and staff support for MATLAB, Simulink and Source Control (git).

MATLAB® is the high-level language and interactive environment used by millions of engineers and scientists worldwide. It lets you explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

Simulink® is a block diagram environment for multidomain simulation and Model-Based Design. It supports simulation, automatic code generation, and continuous test and verification of embedded systems.

Hours
By appointment.

See participant bio

UW-IT eScience Office Hours

Network Design & Architecture Data Science

Network Design & Architecture is responsible for:

  • Developing network architectures and providing service standards and designs for wired and wireless networks and telecommunications.
  • Researching and evaluating new network technologies.
  • Providing advanced Tier 3 support and troubleshooting for all supported networks and network services.

Hours:
Available by appointment

Office Hours By Person

eScience Data Scientists

Sasha Aravkin

saravkin@uw.edu

Hours

Please email for appointment.

Expertise

  • Optimization
  • Machine Learning
  • Robust Modeling
  • Statistical Inference
  • Inverse Problems

Programming

  • Matlab
  • Julia
  • R
  • Python
Anthony Arendt

Anthony Arendt

arendta@uw.edu

Hours
Email for appointment.

Expertise

  • Python
  • Relational Databases / SQL
  • Geospatial Analysis / GIS
  • Hydrological Modeling
  • Environmental Science
David Beck

David A. C. Beck

dacb@washington.edu

Hours
Email for appointment.

Expertise

Biology/bioinformatics

  • Structural
  • Systems
  • Synthetic
Programming

  • C
  • R
  • Python
  • Shell scripting
  • Relational databases / SQL
  • Reproducibility and Open Science

Andrew Fiore-Gartland

agartlan@fredhutch.org

Hours
Email for appointment.

Expertise

  • Python (esp. numpy, pandas, scipy, scikit-learn)
  • Matlab
  • Statistics
  • Biology (esp. neurobiology, immunology, virology)
  • Bioinformatics, phylogenetics and other sequence analysis

Bryna Hazelton

brynah@phys.washington.edu

Hours
Email for appointment.

Expertise

  • Fourier and image analysis
  • Statistical and mathematical modeling
  • Monte Carlo simulations
  • Python
  • SQL
  • IDL
  • Java

Bernease Herman

bernease@uw.edu

Hours
Email for appointment.

Expertise

  • Scala
  • Java
  • Python
  • AWS
  • Software Engineering Practice
A photo of Joseph Hellerstein

Joseph Hellerstein

joseph.hellerstein@gmail.com

Hours
Email for appointment.

Expertise

  • C
  • R
  • Python
  • Bash
  • SQL
  • Software design
  • Web server design
  • Reproducibility and open science
Vaughn

Vaughn Iverson

vsi@uw.edu

Hours
Email for appointment.

Expertise

  • Metagenomics, Genome assembly and annotation
  • C (including OpenMP)
  • Javascript / Coffeescript
  • Go (golang)
  • Shell (Bash, Awk)
  • NoSQL databases (esp. MongoDB)
  • Visualization (eg. GraphViz, d3.js)
  • Data compression

Ariel Rokem

Available by email in the fall at arokem@gmail.com.

Hours
Will return in the fall.

Expertise

  • Python
  • Matlab
  • Version control (git/github)
  • Parametric and non-parametric statistics
  • Neuroscience and biomedical imaging
  • Behavioral Science
  • Reproducibility and Open Science

Valentina Staneva

vms16@uw.edu

Hours
Email for appointment.

Expertise

  • R
  • Python
  • MATLAB
  • Statistical Modeling & Inference
  • Data Analysis
  • Image Processing & Computer Vision
  • Optimization
  • Reproducibility and Open Science

Jake VanderPlas

Available by email in the fall at jakevdp@cs.washington.edu.

Hours
Will resume in the fall.

Expertise

  • Python
  • Scikit-learn
  • Scipy
  • Matplotlib
  • IPython
  • Reproducibility and Open Science

UW Librarians

Jenny Muilenburg

jmuil@uw.edu

Data Librarian

Hours
Email for appointment

Expertise

  • Data management plan guidance
  • Data citation
  • Data curation and archiving
  • Data repositories
A photo of Elizabeth Bedford

Elizabeth Bedford

ebedford@uw.edu

Data Services Projects Librarian

Hours
Email for appointment

Expertise

  • Data management plans
  • Data curation, sharing and archiving
  • Persistent identifier assignment
  • Navigating funder mandates
  • ResearchWorks Archive
A photo of Maggie Faber

Maggie Faber

faberm@uw.edu

Data Visualization Librarian

Hours
By appointment only in the summer quarter. Email or call 206-221-2802.

Expertise

  • Tableau troubleshooting and dashboard design
  • Recommendations for visualization and data wrangling tools
  • Help scoping visualization and analysis projects
  • Visualization methods and best practices
  • Data processing and preparation for visualization or analysis

Anya Bartelmann

acbartel@uw.edu

Physics/Astronomy/Math Librarian

Hours
By appointment for Tuesdays 10 a.m. – 12 p.m. and Wednesdays 2 – 4 p.m. for Summer A and B terms. No office hours at all during the summer interims. Also, no office hours the following days due to other commitments: June 20 – 21, July 4 – 5, July 25 – 26, August 1 – 2.

Expertise

  • Help find articles
  • Recommend resources
  • Discuss research strategies
  • Citation management tools
  • Scholarly communication
  • Open Access
  • Web publishing tools

Cloud Computing

Rob Fatland

rob5@uw.edu

Hours
Wednesdays, 10 a.m. to 12 p.m.

Expertise

  • Networking: Finding resources, collaborators, help
  • Data science design patterns
  • Data visualization
  • Geophysics, emphasis on hydrosphere
  • Remote sensing
  • Embedded systems / IOT / ruggedizing
  • Translating from research to public utility
  • STEM education and public outreach
A photo of Amanda Tan

Amanda Tan

amandach@uw.edu

Hours
Email for appointment.

Expertise

  • Cloud data migration and computing
  • Earth Systems Modeling
  • Data visualization
  • Reproducible Solutions
A photo of Tim Swast

Tim Swast

swast@google.com

Hours
Wednesdays, 12 – 2 p.m.

Expertise

  • Google Cloud Platform
  • Software architecture

Amazon Web Services

Amazon Web Services


Office Hours

Thursdays, 11 a.m. to 12 p.m.

Expertise

“Ask an AWS Architect” – Come to AWS Office Hours with your code, architecture diagrams, and your AWS questions at the ready! Simply walk in. You will have access to deep technical expertise and will be able to get guidance on AWS architecture, usage of specific AWS services and features, cost optimization, and more.

UW-IT Enterprise Data and Analytics Participants

Michael Takos

mtakos@uw.edu

Business Intelligence Engineer, UW-IT Enterprise Information Integration and Analytics (EIIA)

Hours:
Wednesdays, 9 to 10 a.m., beginning July 5

  • Tableau
  • Business Intelligence
  • UW Enterprise Data

Center for Statistics and the Social Sciences (CSSS) Statistical Consulting

A photo of Sam Wang

Sam Wang

y.samuel.wang@gmail.com

Hours
Announced soon for summer quarter.

Expertise

  • Statistical Modeling and Inference
  • Probabalistic Graphical Models
  • Machine Learning
  • R

Mathworks

A logo that reads MathWorks

By appointment

In-office hours are currently cancelled, but you can still receive support by calling 508-647-7000 or emailing support@mathworks.com.

UW-IT Network Design & Architecture Data Science Participants

Schyler Batey

schylerb@u.washington.edu

Lead Network Engineer, UW-IT Network Design & Architecture

 

  • UW Networking & Network Infrastructure
  • Regional, National, & International R&E Network Facilities
  • Software Defined Networking (SDN)
  • Big Data Transport
  • Network Services for Researchers

Ian Cote

iancote@u.washington.edu

Lead Network Engineer, UW-IT Network Design & Architecture

  • UW Networking & Network Infrastructure
  • Regional, National, & International R&E Network Facilities
  • Software Defined Networking (SDN)
  • Big Data Transport
  • Network Services for Researchers