Interests

Data Representation

Data Viz

Storytelling

Sustainability

Collaboration

Scientific Computing

Experience

 
 
 
 
 

Assistant Professor

School of Information Sciences, University of Illinois

Sep 2016 – Present Illinois
 
 
 
 
 

Research Scientist

NCSA, University of Illinois

Jun 2014 – Aug 2016 Illinois
At the National Center for Supercomputing Applications, I built a research group to conceptualize, develop and understand tools for data exploration and visualization. In collaboration with others at the NCSA, I worked to advance the National Data Service and other initiatives.
 
 
 
 
 

Associate Research Scientist

Columbia University Astronomy

Jan 2014 – May 2014 New York City
Supported by the NSF SI2-SSE grant ACI-1339624 (proposal available here) I was an associate research scientist at Columbia.
 
 
 
 
 

NSF CI TraCS Postdoctoral Fellow

Columbia University Astronomy

Jan 2011 – Dec 2013 New York City
As part of the NSF CI TraCS fellowship program, I spent three years at the Columbia University Astronomy Department developing computational tools for astrophysical simulations in collaboration with Prof Greg Bryan.
 
 
 
 
 

Postdoctoral Scholar

University of California San Diego

Jul 2009 – Dec 2010 San Diego, CA
I worked as a postdoc with Prof Mike Norman at the Center for Astrophysics and Space Sciences at UCSD.
 
 
 
 
 

Graduate Student

KIPAC/SLAC, Stanford University

Aug 2004 – Jun 2009 Palo Alto, CA

Recent Posts

I think I’ve talked myself into proposing a big change in yt. I’m not the “boss” of yt, so it might not happen, …

In this blogpost, I walk through the annoying bits about loading unknown data into yt.

What is this Whole Tale thing?

tl;dr: kaitai struct is awesome. File formats can be pretty annoying – especially when you figure them out through weird …

Welcome to part 3 of a series on how yt deals with data and the ways that helps and hinders things! This time, I am going to describe …

Projects

yt

yt is an open-source python package for analyzing and visualizing volumetric data.

Crops in Silico

Crops in Silico is an integrative and multi-scale modeling platform to combine modeling efforts toward the generation of virtual crops, open and accessible to the global community.

Whole Tale

Whole Tale is an initiative to build a scalable, open source, web-based, multi-user platform for reproducible research.

Courses

Repositories and websites for courses I have taught.

Seminar on advanced or in-depth topics in data visualization

Data Viz from Fall 2018

Introduction to Computational Astrophysics

Data Viz from Spring 2018

Recent & Upcoming Talks

It’s really easy to get lost in community building.

In this talk, I present a retrospective on the origins and goals of the NumFOCUS software sustainability project I was involved in in …

What have your experiences been with digital infrastructure development?

This is a brief overview of how we can think about dependencies in the Crops in Silico project, and how we can use that to organize our …

My ‘update’ talk at the Moore Data Driven Discovery Investigator Symposium in April, 2019.

Recent Publications

Software that processes real-world data or that models a physical system must have some way of managing units. While simple approaches …

We present GAMER-2, a GPU-accelerated adaptive mesh refinement (AMR) code for astrophysics. It provides a rich set of features, …

Contact