Brian Higgins

Applied Mathematics Researcher, Software Engineer

(973) 985-2122
Newark, New Jersey, 07106


I am a graduating Applied Mathematics and Computer Science major at Rutgers University—Newark. My research interests include machine learning, adversarial examples, Stochastic and statistical modeling. Additionally, I am planning to pursue a doctorate degree in Applied Mathematics. Fast learner, hard worker and team player who is proficient in an array of progamming languages and mathematical topics.

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Inquisitive, energetic computer science and applied mathematics researcher skilled in leadership, with a strong foundation in algorithms, theory, programming logic, and systems programming. Seeking to grow solid development skills with a focus on collaboration, communication, passion, and creativity as a programmer and mathematician.


Rutgers University and New Jersey Institute of Technology

2016 - 2018

Bachelor of Arts in Applied Mathematics
Bachelor of Arts in Computer Science
Dual Enrollment Program

Essex County College

2014 - 2016

Associate of Science in Mathematics
Took courses in additional relevent fields such as Computer Science and Engineering


Codaslab: Rutgers University

2017 - Present

Worked as a research assistant.
Performed research toward human and machine learning.
Created adversarial examples for mnist and fashion mnist.

Essex County College

2015 - Present

Supplemental Mathematics Instructor.
Improve student retention and success within targeted historically difficult courses.
Assist students and faculty in all operational and academic functions of the Math Department.

Stevens Institute of Technology

2015 - 2016

Work as a research assistant.
Performed modeling of neurons.
Developed neuron networks with two-dimension space with clustering patterns for communication.

general skills

C++ 90%

python 90%

php 85%

MySql 85%

Java and C 80%

HTML, CSS, Javascript, JQuery 75%

Linux Shell Script 85%

git 80%

My projects_


College testing system

As a team, we designed and implemented a college testing system with multiple users (student, instructors) to allow students to take exams based on python coding. As the middle end, I designed our system to grade multiple exams at once while executing student code, this system was the backbone between the front end and back end. This project was created in just a four week span.

Used stack:

  • Html5
  • Css3
  • JavaScript
  • PHP
  • SQL
  • Python

Machine Learning, Teaching, and Adversarial Examples

Used mnist and fashion mnist dataset to train neural network and identify good training procedure, Generate adversarial samples based on mnist and fashion mnist. Generate teaching sets to evaluate model robustness with random sampling versus teaching.


  • python
  • applied mathematics
  • neural network
  • adversarial
  • teaching

Conway's Game of Life

As a collaborative work with a whole class, we have created a software that used the rules of Conway's Game of Life. My specific role was to focus on profiling, testing, and integration for the project.


  • Java
  • Junit
  • Javafx
  • Git
  • JSON
  • Doxygen

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