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.Download CV
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.
Java and C 80%
Linux Shell Script 85%
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 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.
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.
GS-LSAMP STEM Research
Previous research finding led to publication in GS-LSAMP journals.
All-USA Academic Team
One of two people selected for the 2015 All-New Jersey Academic Award.
Essex county college
Recognized for giving back to student base with tutoring and support.
Phi Theta Kappa
Served as Vice-President of Hallmarks.