cv

You can a find more complete CV, including publications, at the link above. Below is a brief overview:

General Information

Name Daniel Waxman
Website danwaxman.github.io
Address Department of Electrical & Computer Engineering, Stony Brook University

Education

  • 2021-Present
    Ph.D. in Electrical Engineering
    Stony Brook University, Stony Brook, New York
  • 2018-2021
    B.S. in Mathematics & Applied Mathematics and Statistics
    Stony Brook University, Stony Brook, New York

Research Talks

  • 2023
    Acoustics Research Institute of the Austrian Academy of Sciences
    • Talk Title: Causal Discovery via Quantifying Influences
  • 2023
    Bellairs Workshop on Machine Learning and Statistical Signal Processing for Data on Graphs
    • Talk Title: Bayesian Combination

Teaching

  • Summer 2022
    Random Signals and Systems (ESE 306 @ SBU)
  • Spring 2022
    Random Signals and Systems (ESE 306 @ SBU)
  • Fall 2021
    Programming Fundamentals (ESE 124 @ SBU)

Outreach and Service

  • 2021-2023
    Stony Brook University Graduate Student Organization
    • Primary Senator, Department of Electrical and Computer Engineering
    • Member of Diversity, Equity, and Inclusion Committee
    • Graduate Student Representative for Graduate Council
    • Reviewer for the Distinguished Travel Award
  • 2022-2023
    SBU Strategic Planning Steering Committee
    • Member of the Strategic Planning Steering Committee, helping to identify priorities for upcoming strategic plan.
    • Member of the Project REACH Visioning Committee that drafted a new vision statement for the university

Mentoring

  • CUNY Directed Reading Program
    • Masroor Khokhodzhaev, Dynamic Programming and Reinforcement Learning
    • Percy Martinez, Fourier Analysis and Its Applications
    • Isabella Chittumuri, Elements of Statistical Learning
  • Stony Brook University Directed Reading Program
    • Shailen Smith, Probabilistic Machine Learning
  • Bayesian Data Analysis for the Global South (GSU)
    • Volunteer Teaching Assistant for online course aimed at the Global South and other underrepresented groups taught by Aki Vehtari