Position and Background

I am a senior AI/ML research scientist in the EAiR (Enterprise AI Research) group at Vanguard.

I’m working on some side projects that I’ll add here soon. Watch this space!

In a previous life, I was in academia. I started off in theoretical particle physics, in a branch known as particle physics phenomenology, focusing especially on the search for dark matter. I defended my PhD thesis at the University of Michigan as the student of Kathryn M. Zurek in April of 2014. For my final year in grad school, I was a theory student fellow at Fermilab, working with Dan Hooper and the particle group. I went on to a postdoc at the C. N. Yang Institute for Theoretical Physics at Stony Brook University on Long Island from 2014-2017. After that, and until 2022, I was the Schramm Fellow in the theoretical astrophysics group on the 6th floor at Fermilab. Then I became permanent research staff in the Department of Astronomy and Astrophysics at the University of Chicago as well as a member of the Deep Skies community of researchers. I used machine learning and numerical techniques to solve problems in cosmological and astrophysical data analysis. For undergrad I attended the University of Pennsylvania, where I was a member of the student radio station, WQHS.

My email address is formed by using my github handle and appending the domain for Google email.

PDF versions of my CV and resume are available upon request.

Notes

I’ll put random pedagogical notes here.

Here’s one about generating the filters for Daubechies wavelets. These are given numerically by PyWavelets (and surely other places as well) but here I aimed solely to write a minimum-length reference for how they’re generated and why (annihilate polynomials of degree N/2-1!)

Past Research

For over a decade, I studied particle physics with a number of excellent collaborators. I currently consider myself to be either retired or on sabbatical from particle physics, depending on the day.

Those publications are available here, or via my inSpire HEP page, where you can also see citation and publication analytics. Many are also available via my Google Scholar profile. And in case it matters to you, my ORCiD is 0000-0001-5513-1938.

For several years, I worked in astrophysics and ML. My main theoretical paper was

WavPool: A New Block for Deep Neural Networks arXiv:2306.08734 (with my collaborators Brian Nord and M. Voetberg) which embeds the wavelet decomposition into a novel deep learning architecture. Our construction outperforms a comparable CNN. Code is provided at this github repository; or via pypi, enabling installation with pip install wavpool.

Publicity

I have been interviewed in a number of popular publications, often based on a paper or series of papers:

Physics at Tiniest Scale Could Explain ‘Impossible’ Black Holes, by Scott Hershberger for Symmetry Magazine.
If Betelgeuse goes boom: How DUNE would respond to a nearby supernova, by Scott Hershberger for Fermilab News.
Beyond the Standard Model Explanations of GW190521, by myself with Djuna Croon and Jeremy Sakstein in the Newsletter of the CERN Experimental Physics Department. Based on arXiv:2007.07889, arXiv:2007.00650, and arXiv:2009.01213.
Overschot straling centrum Melkweg niet te verklaren met donkere materie (Dutch) by Ans Hekkenberg at newscientist.nl. Based on arXiv:1911.12369.
Could recently spotted dim point sources explain the galactic center excess (GCE)? by Ingrid Fadelli at Phys.org. Based on arXiv:1911.12369.
The First Stars May Shed Light on Dark Matter, by Julian Munoz and Abraham Loeb for APS Physics. Based on arXiv:1803.02804.
“If real, dark fusion could help demystify this physics puzzle”, by Emily Conover of Science News. Based on arXiv:1711.00857.
“Inflatable Dark Matter” Could Explain Why We See Less Than Many Theories Predict. by Esther Inglis-Arkell for Gizmodo. Based on arXiv:1507.08660.

While in academia, I had the pleasure of collaborating with some extraordinary colleagues to craft calls for justice and dignity within physics via the ad hoc group Particles for Justice. Please see the wesbite for additional information on our calls and actions.