Biography

I am a third-year PhD student at the MIT Operations Research Center, as well as LIDS (Laboratory for Information and Decision Systems). I am a Microsoft Research PhD fellow. Prior to coming to MIT, I completed an ScB in Applied Mathematics and an ScM in Computer Science concurrently at Brown University.

Research Interests

My research interests lie in applied probability and algorithms. My advisors are David Gamarnik and Patrick Jaillet.

Current and previous research projects:

  • Monotone regression (with David Gamarnik)
  • Analysis of the random instance Travelling Salesman Problem (with Patrick Jaillet)
  • Attracting Random Walks. Demos
  • Convergence bounds for Markov processes (with Saurabh Amin and Patrick Jaillet)
  • Evacuation planning for natural disasters (with Pascal Van Hentenryck)

Awards and Honours

  • 2018 Microsoft Research PhD Fellowship
  • Rohn Truell Prize for Undergraduate Excellence, Brown University Division of Applied Mathematics (2016)
  • Winnder, Brown University Computer Science Symposium
  • Honourable mention in the Mathematical Contest in Modeling (2016)
  • Associate member of the Sigma Xi Scientific Research Honor Society (2016)
  • Phi Beta Kappa honor society (2015)
  • Shoman Scholarship (Brown University), for international students with the highest GPA's

Selected Coursework

At MIT:

  • 6.256 Algebraic Techniques and Semidefinite Programming
  • 6.437 Inference and Information
  • 18.408 Algorithmic Aspects of Machine Learning
  • 18.4041[J] Theory of Computation
  • 6.265 Modern Discrete Probability
  • 6.268 Network Science and Models
  • 6.436[J] Fundamentals of Probability
  • 6.251[J] Introduction to Mathematical Programming
At Brown:

  • Computational Probability and Statistics
  • Recent Applications of Probability and Statistics
  • Filtering and Prediction of Hidden Markov Models
  • Physical/Quantum Chemistry
  • Statistical Mechanics
  • Probability and Computing II (Randomized Algorithms)
  • Information Theory
  • Probabilities in Quantum and Statistical Mechanics
  • Design and Analysis of Algorithms
  • Learning and Sequential Decision Making
  • Operations Research: Probabilistic Models
  • Advanced Algorithms Seminar
  • Analysis: Functions of One Variable
Teaching experience:
  • Teaching assistant for 6.265, Advanced Stochastic Processes

jgaudio[at] mit [dot] edu

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