# Laura Eslava

I did my graduate studies at the Dept. Mathematics and Statistics, in McGill University under the supervision of Louigi Addario-Berry. I am starting a posdoctoral position at the School of Mathematics in Georgia Tech.

I like to work on problems related to Probabilistic Combinatorics and random structures. Specially stochastic processes on random networks.

## Teaching:

**Winter 2016:**MATH 363 Discrete Mathematics

**Fall 2017:**MATH 1553 Introduction to Linear Algebra

**Spring 2018:**MATH 2802 Applications of Linear Algebra

## Publications:

**4.**Laura Eslava, Extremal values in recursive trees via a new tree growth process, submitted.

**3.**Laura Eslava, Depth of vertices with high degree in random recursive trees, submitted.

**2.**Louigi Addario-Berry, Laura Eslava, High degrees of random recursive trees, accepted in Random Structures and Algorithms.

**1.**Louigi Addario-Berry, Laura Eslava, Hitting time theorems for random matrices, Combinatorics, Probability and Computing.Vol 23 (2014), 635-669.

## Some slides:

**4. Properties for extreme-valued degrees in recursive trees .**

**3. Depths of high degree vertices in random recursive trees.**

**2. High degrees of random recursive trees.**

**1.**Hitting time theorems for random matrices.## Education:

Curriculum Vitae

2017 PhD. Mathematics

Dept. Mathematics and Statistics,
McGill university

Thesis: Properties for extreme-valued degrees in recursive trees

Advisor: Louigi Addario-Berry.

2013 M.A. Mathematics

Dept. Mathematics and Statistics,
McGill university

Thesis: The rank of symmetric random matrices via a graph process

Advisor: Louigi Addario-Berry.

2010 B.Sc. (Hons) Mathematics

Facultad de Ciencias,
UNAM

Honours Thesis: El teorema de Kesten sobre percolación de aristas en el plano, (Spanish)

Advisor: Gerónimo Uribe.

## Interests:

Hiking, Climbing, Biking, Movies,
Origami,
Writing from time to time.
Here are some great photos.

When I'm thinking,

all that remains outside become silent.

Inside my mind resounds a clear, loud voice.

Then I come back.

I'm afraid that people around me could have noticed

the cheerful and ebullient discussions inside myself.

(What a great feeling to sink in thought!)