I am currently a JQI Postdoctoral Fellow at the University of Maryland, supported by a competitively awarded fellowship by the Joint Quantum Institute (JQI). JQI is a joint institute between the University of Maryland and the National Institute of Standards and Technology, whose purpose is to explore the frontiers of quantum science and technology.
Aside from research in physics, I am broadly interested in how science and scientific thinking can improve society and allow us to lead better lives. For example, I was previously employed as an Associate Physical Scientist at the RAND Corporation conducting public policy research and analysis. I have also participated in numerous science education and outreach activities to convey the excitement of science to students at all levels of education. Some of my activities in this area are described here and here.
Lately I am particularly interested in how data science and machine learning can lead to insights on various forms of data. Some of my efforts in this area can be seen at my GitHub page, which includes a Jupyter Python notebook on my analysis of Arxiv topic trends using the Arxiv API and a Python implementation of applying the technique of principal component analysis to CCD camera images of cold atomic gases to reduce unwanted fringing. A list of resources I have found particularly useful in learning about various aspects of data science is given here.
I obtained a Ph.D. from the Department of Physics at the Massachusetts Institute of Technology in the group of Professor Wolfgang Ketterle, working on ultracold rubidium atoms in optical lattices to study new phases of quantum matter.
I obtained a B.A. from Cornell University majoring in physics and mathematics. While there I worked with Professor J. C. Séamus Davis on measuring gravity at submicron length scales, and Professor Anders Ryd on measuring the decay properties of D mesons to two kaon particles.
I can be reached at