Greetings!
In late Feb 2025, I joined the research science faculty at the University of Maryland, College Park (UMD)'s Applied Research Laboratory for Intelligence & Security (ARLIS)
In late Feb 2025, I joined the research science faculty at the University of Maryland, College Park (UMD)'s Applied Research Laboratory for Intelligence & Security (ARLIS)
Education
Doctorate in Physics from University of Oxford (Rhodes Scholarship)
B.S. Honors (x2) in Physics & Astronomy from the University of Texas at Austin
Research Interests
-Applied AI/ML
-Quantum Science and Technologies
-Mathematical foundations for:
machine learning
quantum information science & physics
Reach out for a recent CV:
millesa
and then the normal symbol that goes here
umd dot edu
Shou, Miller, Galitski. 2025 (submitted to Quantum) Proof of Hiding Conjecture in Gaussian Boson Sampling: https://arxiv.org/abs/2508.00983
Lakhdar-Hamina, Liu, Barney, Miller, Green, Linke, Galitski. 2025 (submitted to PRL) Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware: https://arxiv.org/abs/2507.21222
Davies, Miller, Milley. 2025 (submitted to Integers) On Sums of 𝒫-free forms Under Misère Play: https://arxiv.org/abs/2506.05257
Miller (in prep) Spacetime symmetries of sided sets
Miller (in prep) Transformal foundations for neural networks
I conducted astrophysics research at Caltech and the University of California, Irvine (on a Chancellor's Fellowship) & Riverside (advising students), after receiving my doctorate at Oxford. I modeled rotation curves of hundreds of galaxies as far out in space and thus as far back in time as had been done at that point with such high quality spectra. I used data mostly from instruments on the Keck Telescopes and Hubble Space Telescope, ultimately trying to probe how dark matter evolves across the age of the universe in disk galaxies with respect to "normal matter." My supervisors and mentors included Richard Ellis, Mark Sullivan, James Bullock, Bahram Mobasher, and my luck continued with many more amazing collaborators. I was also fortunate to help advise many talented students during this time as well. A couple examples of work from this period include:
Miller, Bundy, Sullivan, Ellis, & Treu, (2011) The Astrophysical Journal, 741. https://arxiv.org/abs/1102.3911
Miller, Ellis, Sullivan, Bundy, Newman, Treu (2012) The Astrophysical Journal 753 74 https://arxiv.org/abs/1201.4386
I also led a study at the Keck Institute for Space Studies on airships as a new kind of platform for science:
Miller, Fesen, Hillenbrand, Rhodes, Baird, Blake, Booth, Carlile, Duren, Edworthy, Freeze, Friedl, Goldsmith, Hall, Hoffman, Hovarter, Jensen-Clem, Jones, Kauffmann, Kiessling, King, Konidaris, Lachenmeier, Lord, Neu, Quetin, Ram, Sander, Simard, Smith, Smith, Smoot, Susca, Swann, Young, Zambrano (2014) Airships: A New Horizon for Science. https://arxiv.org/abs/1402.6706
Before that I worked in theoretic physics research in the areas of general relativity and gravitational radiation with Richard Matzner at the Center for Relativity at the University of Texas at Austin, as well as with Shardha Jogee, working on automated methods in large surveys for observational galaxy evolution and cosmology. A couple work examples include:
Miller & Matzner. (2009) Multipole Analysis of Kicks in Collision of Binary Black Holes Gen.Rel.Grav.41:525-539 https://arxiv.org/abs/0807.3028
Jogee, Miller, Penner, et al. (2009) The Astrophysical Journal, 697, 1971 - 1992. https://arxiv.org/abs/0903.3700
I left my astrophysics postdoctoral fellowship early to begin serving as a data scientst, and eventually Lead Scientist and then Chief Scientist, in increasingly broad AI/ML adoption and coordination programs in the United States federal government. I started out in hands-on applied machine learning roles, and after some years, began working on increasingly broader enterprise and policy-related initiatives in increasingly impactful leadership roles. Eventually I was working to coordinate programs across multiple Agencies and Departments, including support to the White House, and regularly briefing multiple Congressional and Judiciary components. I was honored for both excellence in my work as well as championing privacy and civil liberties in enduring ways, from grassroots efforts to high-level policy-related work.
https://www.intelligence.gov/ai/ai-ethics-framework