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Alec Kirkley

PhD Candidate

University of Michigan Physics Department

About Me

I am a PhD candidate in the University of Michigan Physics Department, working with Mark Newman on complex networks and statistical physics. I did my undergraduate studies at the University of Rochester, and began my studies in complex systems working with Gourab Ghoshal. I am fortunate to be supported by an NDSEG Fellowship through the Department of Defense, and I am also a recipient of the NSF Graduate Research Fellowship.

I am interested in the theory of complex networks and statistical physics, as well as their applications in urban and social systems. Topics of my research include statistical inference on network data, human mobility and the structure and function of urban systems, social network dynamics, and the spatial manifestation of socioeconomic inequality. My research involves a balance of mathematical theory, computer simulation, and analysis of empirical data. For more info, check out my Google Scholar page.

I am also a member of the Michigan Data Informed Cities for Everyone (M-DICE) program, an interdisciplinary team of students and faculty led by Danai Koutra partnering with the Detroit city government to develop data-driven solutions to practical issues regarding urban mobility and transportation systems. Additionally, I have worked with the Michigan Data Science Team through the Michigan Institute for Data Science (MIDAS) on various machine learning projects for competitive and pedagogical purposes with a team of graduate students and undergraduates.

Interests

  • Network Science
  • Urban Science
  • Complex Systems
  • Statistical Physics

Education

  • PhD candidate in Physics

    University of Michigan

  • MS in Physics, 2018

    University of Michigan

  • BS in Physics, BA in Mathematics (summa cum laude), 2017

    University of Rochester