Miheer Dewaskar

Miheer Dewaskar

PhD Candidate

UNC Chapel Hill

Biography

I am a fifth year PhD student in Statistics and Operations Research at UNC Chapel Hill. My advisors are Shankar Bhamidi, Amarjit Budhiraja and Andrew Nobel. I work on both theoretical and applied problems, and aim to design application oriented software and algorithms based on rigorous and innovative mathematical methods.

My current work involves the study of large scale load balancing and distributed computing systems. I have proved limit theorems for the power-of-choice load balancing scheme using tools from Stochastic calculus. I am also interested in correlation mining and statistical properties of correlation networks. I have developed methodology and software to find communities in correlation networks obtained from multi-view data.

Interests

  • Rigorous methods in data science.
  • Queuing theory and Stochastic processes.
  • Probability Theory.

Education

  • PhD in Statistics and Operations Research, 2021 (expected)

    UNC Chapel Hill

  • MSc in Computer Science, 2016

    Chennai Mathematical Institute, India.

  • BSc (Hons) in Mathematics and Computer Science, 2014

    Chennai Mathematical Institute, India.

Publications

(2020). Near Equilibrium Fluctuations for Supermarket Models with Growing Choices. Submitted to the Annals of Applied Probability.

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(2020). Finding Stable Groups of Cross-Correlated Features in Multi-View data. Submitted to the Annals of Applied Statistics.

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(2019). Controlling a population. Logical Methods in Computer Science, Volume 15, Issue 3 (July 29, 2019) lmcs:5647.

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Contact

  • miheer@live.unc.edu
  • UNC Department of Statistics & Operations Research, Chapel Hill, NC 27599-3260