Sloan Nietert

profile picture

email: nietert "at" cs.cornell.edu

office: G23 Gates Hall

about

I am a second-year Ph.D. student in Computer Science at Cornell University, where I am fortunate to be advised by Ziv Goldfeld. I received my B.S. in Mathematical Sciences and B.A. in Computer Science from Clemson University. My research interests include learning theory, algorithms, and optimization in high dimensions. I am supported by an NSF Graduate Research Fellowship.

Prior to starting my graduate studies, I spent an academic year in Budapest, Hungary, as a researcher at the Alfréd Rényi Institute of Mathematics and as a student and lecturer with Budapest Semesters in Mathematics. My work was supported by the Fulbright U.S. Student Program and was supervised by Gergely Ambrus and Mihály Weiner.

Outside of my research, I'm an avid climber and am passionate about fair redistricting.

publications

  • From smooth Wasserstein distance to dual Sobolev norm: empirical approximation and statistical applications. Sloan Nietert, Ziv Goldfeld, and Kengo Kato. 2021. [arXiv]
  • Learning with comparison feedback: online estimation of sample statistics. Michela Meister and Sloan Nietert. To appear at Algorithmic Learning Theory (ALT) 2021. [arXiv]
  • Rigidity and a common framework for mutually unbiased bases and k-nets. Sloan Nietert, Zsombor Szilágyi, and Mihály Weiner. Journal of Combinatorial Designs 2020. [arXiv, journal version, poster]
  • Polarization, sign sequences and isotropic vector systems. Gergely Ambrus and Sloan Nietert. Pacific Journal of Mathematics 2019. [arXiv, journal version]
  • Assessing the correlation between physical activity and quality of life in advanced lung cancer. Brett Bade, Mary Brooks, Sloan Nietert, Ansley Ulmer, David Thomas, Paul Nietert, JoAnn Scott, and Gerard Silvestri. Integrative Cancer Therapies 2018. [pubmed, journal version]

awards & fellowships

  • 2019-Present: NSF Graduate Research Fellow
  • 2018-2019: Fulbright U.S. Student Grantee
  • Summer 2018: MIT/Tufts Voter Rights Data Institute Fellow
  • Spring 2018: Clemson Outstanding Senior in Science
  • Fall 2017: HackMIT 2nd Place Overall
  • Summer 2014: NSLI-Y Scholar in Seoul, South Korea

teaching

  • Fall 2018, Spring 2019: Lecturer for GRE Math Subject Test Preparation Seminar at Budapest Semesters in Mathematics