Resume

Interests

Neutrino Physics, Imaging Detectors, Deep Learning, Data Visualization

Deep Learning

Image Classification, Object Detection, Pixel Segmentation, Generative Networks

My primary research interest in neutrino physics is the application of deep convolutional neural networks to very difficult pattern recognition problems. In particular, cosmogenic background removal via pixel segmentation, neutrino interaction localization, and event topology classification are active research areas.

Education

Yale University	Ph.D., Physics, 2017 Dissertation: First Detection of Low Energy Electron Neutrinos in Liquid Argon Time Projection Chambers Advisors: Professor Bonnie Fleming, Professor Ornella Palamara
	M.Phil., Physics, 2014
	M.S., Physics, 2014
University of Rochester	B.S., Physics, 2011
University of Rochester	B.S., Mathematics, 2011

Computing Skills

Programming Languages:
C++, C, Python

Tools:
Bash, PyQt, OpenGL, Pandas, Tensorflow, Numpy, Linux/Unix, GNU Make, Latex

Research Experience

Postdoctoral Fellow (2017 - present)

Harvard University, with Prof. Roxanne Guenette
Search for electron like low energy excess in MicroBooNE, development of Deep Learning techniquies for TPCs.

Graduate Research Assisant (2012 - 2016)

Yale University, with Prof. Bonnie Fleming and Prof. Ornella Palamara
Dissertation research on electron neutrinos in ArgoNeuT and MicroBooNE, development and proposal of the SBN Program.

Undergraduate Research Assisant (2010)

University of California, Los Angeles, with Prof. Walter Gekelman
Study of magnetic flux ropes with laser induced fluorescence.

Undergraduate Research Assisant (2009 - 2010)

University of Rochester, with Prof. John Howell
Undergraduate research on quantum optics.

Undergraduate Research Assisant (2009)

University of Washington, with Prof. Boris Blinov
Undergraduate research on quantum computing.

Awards and Fellowships

Neutrino Physics Center Scholar

Fermilab, 2016

University Research Association Visiting Scholar Fellowship

Fermilab, 2015

Excellence in Undergraduate Teaching Award

University of Rochester, 2011

Bausch and Lomb Scholarship for Excellence in Science

University of Rochester, 2007

Selected Publications

“First Detection of Low Energy Electron Neutrinos in a Liquid Argon Time Projection Chamber”

ArgoNeuT Collaboration, Phys. Rev. D 95, 072005 (2017)

“Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC”

MicroBooNE Collaboration, JINST 12, P08003 (2017)

“Design and Construction of the MicroBooNE Detector”

MicroBooNE Collaboration, JINST 12, P02017 (2017)

“Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber”

MicroBooNE Collaboration, JINST 12, P03011 (2017)

“Measurement of muon neutrino and anti-muon neutrino Neutral Current π⁰ → γγ Production in the ArgoNeuT Detector”

ArgoNeuT Collaboration, Phys. Rev. D 96, 012006 (2017)

“The detection of back-to-back proton pairs in Charged-Current neutrino interactions with the ArgoNeuT detector in the NuMI low energy beam line”

ArgoNeuT Collaboration, Phys. Rev. D 90, 012008 (2014)

“First Measurement of Neutrino and Antineutrino Coherent Charged Pion Production on Argon”

ArgoNeuT Collaboration, Phys. Rev. Lett. 113, 261801 (2014)

“Measurements of Inclusive Muon Neutrino and Antineutrino Charged Current Differential Cross Sections on Argon in the NuMI Antineutrino Beam”

ArgoNeuT Collaboration, Phys. Rev. D 89, 112003 (2014)