Profile

I am have just graduated from the University of Connecticut. My PhD. advisor is Reed Solomon.

Contact: daniel.mourad@uconn.edu

picture of Daniel

Research

My research interests are in mathematical logic. My projects so far have been in computable structure theory and computable combinatorics.

Thesis:

Talks

Invited Talks

  • Computing Non-Repetitive Sequences Using the Lovász Local Lemma, Spring, 2023, AMS 2023 Spring Southeastern Sectional Meeting, Special Session on Logic, Combinatorics, and their Interactions, Georgia Institute of Technology
  • Computing Non-Repetitive Sequences Using the Lovász Local Lemma, Spring, 2023, Southeastern Logic Symposium, University of Florida

Contributed Talks

  • Cohesive Powers of Decomposable Structures (slides), Fall, 2023, Connecticut Logic Seminar, University of Connecticut, Storrs
  • Quantifying Degrees of Relative Solvability: When Does One Problem Reduce to Another? (slides), Spring 2022, Sigma Seminar, University of Connecticut, Storrs
  • Computing Non-Repetitive Sequences Using the Lovász Local Lemma (slides), Spring 2022 North Eastern Recursion and Defineability Seminar (NERDS), University of Connecticut, Storrs
  • A Proof of Convergence for Stochastic Gradient Descent on Convex Cost Functions (slides) – presenting work by M. Fazylab, F. Gama, and S. Paternain, Fall 2017, RIT on Deep Learning, University of Maryland, College Park

 

Research Experience For Undergraduates

For the past few summer at UConn, I have had the privilege of working as a mentor alongside Iddo Ben-Ari for the participants of the Markov Chains REU at UConn. Check out their projects!

2022

2021

I organized the REU Virtual Conference in 2021. We had participants from REUs from (in no particular order) Amherst College, UMass Amherst, Tufts University, Yale University. and UConn.

Teaching

  • Fall 2022 – Calc 3 (TA)
  • Spring 2022 – Precalculus
  • Fall 2021 – Honors Calc 1 (TA)
  • Fall 2020 – Calc 1 (TA)
  • Summer 2020 – Calc 2 (TA, Online)
  • Spring 2020 – Calc 2 (TA, Online)
  • Fall 2019 – Business Calc
  • Summer 2019 – Elements of Discrete Mathmatics (SSS Program)
  • Spring 2019 – Calc 2 (TA)
  • Fall 2018 – Calc 1 (TA)