Professional Interests

My primary research area is computational cosmology, the use of numerical methods to simulate the cosmos on its largest scales and to analyze data from large astronomical surveys. I also work with teams at the University of Michigan’s Center for Academic Innovation to develop new digital services focused on curricular transparency (Atlas) and student competency (Problem Roulette). Questions that motivate my research include:

  • How did the large-scale structure of the universe emerge and develop?

  • What do we learn about Nature from the population of groups and clusters of galaxies?

  • How do we design and deploy simulations and cyberinfrastructure to support large astronomical surveys?

  • Teaching & learning: How can educational data science and novel digital services contribute to improving higher education?

Research

I am a first-generation computational cosmologist who developed an original code capable of modeling multiple types of fluids, principally dark and ordinary matter, within large cosmic volumes. Early applications led to the first models of X-ray emission from galaxy clusters and the first simulations in which disk galaxies like our Milky Way formed naturally from collapse within a cosmic web of large-scale structure. Around the world, dozens of codes have since emerged and evolved to incorporate a wide range of astrophysical processes with growing fidelity in reproducing features of the observed extragalactic sky. I collaborate on cosmological research as a builder of the Dark Energy Survey and a member of the XMM-XXL project. My recent work developing educational services has fueled an interest in the emerging fields of Learning Analytics and Educational Data Science.

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Teaching

I have taught a range of courses, from introductory mechanics for first-year students to cosmology for graduate students. I am grateful to have been awarded the Provost’s Teaching Innovation Prize at the University of Michigan twice, in 2012 for the Better than Expected project with Tim McKay and Dave Gerdes, and in 2019 for the Problem Roulette study service.

My teaching philosophy is rooted in passion, curiosity, and creative teamwork. When students sense that a teacher is deeply attached to their subject, that they’re articulating its value in ways that make sense to them, it motivates them and instills curiosity. Creative assignments and team projects can reinforce this budding curiosity and promote long-term learning.

Academic Services

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Atlas (formerly ART 2.0)

A visual dashboard delivering curricular transparency to the Ann Arbor campus, Atlas offers recent historical summaries of courses, instructors, degrees, and more.

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Problem Roulette

A points-free study zone that uses authentic content from U-M courses to help students develop competency in STEM subjects.