Education

  • Ph.D.
    Mathematical Sciences
    Stevens Institute of Technology
    Hoboken, NJ 07030
  • Masters of Arts
    Mathematics
    The City College of New York
    New York, NY
  • Bachelor of Science
    Pure Mathematics
    William Paterson University of New Jersey
    Wayne, NJ 07470

Industry Experience

  • Capco
    Digital Labs — NYC
    Senior AI Engineer
    Aug. 2018 – Current
    – Lead 7 person development team for Rapid Prototyping and initial product development.
    – Deployed AI solution into banks internal data center for regulatory compliance development.
    – Developed internal Conversational AI solution for demonstration of modular construction.
    – Developing AI Test Case Generation Automation.
  • Elemental Path
    Machine Learning Engineer – Team Lead
    May 2017 – Aug. 2018
    – Lead small research and development team focusing on audio processing and natural language processing (NLP).
    – Integrating machine learning algorithms into the core stack for the chatbot engine for improved interactions with clients.
    – Developed a data science dashboard to integrate live statistics for chatbot engine to better guide user interactions and content development.

Technical Skills - Scores Relative

Python 3.x
LaTeX
CUDA C++
C++
Rust (Python Bindings)
Javascript
Pandas
Tensorflow
Flask (Microservices)
Multiprocessing
SQL (PostgreSQL Primary Choice)
Redis
Neo4j
Amazon Web Services (Dev Ops)
Docker
Jenkins
Kubernetes
Model Construction
System Construction (Python)

Academic / Teaching Experience

  • Stevens Institute of Technology / Capco
    Graduate Student Group Mentor
    Jan. 2019 – Current
    Oversee graduate student group studying application of TensorFlow and NLP techniques to studying the differences between how different collections of journals label different fields.
  • Stevens Institute of Technology
    Adjunct Professor
    August 2015 – May 2019
    – QF-465: C++ for Finance: Advanced Topics
    – FE-695: Machine Learning for Finance
    – FE-540: Probability for Financial Engineering
    – FE-522: C++ for Finance
    – FE-529: GPU Computing for Finance
    – MA-522: Calculus Review Module
  • Stevens Institute of Technology
    Teaching Assistant
    August 2013 – May 2016
    – MA-121-124: Calculus Sequence
    – MA-222: Probability and Statistics
  • The City College of New York
    Adjunct Instructor
    August 2012 – December 2012
    – MA-104: Quantitative Methods for the Real World

Fellowships and Financial Support

  • Robert Crooks Stanley Fellowship
    Stevens Institute of Technology
    2016 – 2017
  • Teaching Assistantship
    Stevens Institute of Technology
    2013 – 2016

Research Experience

Computational Intelligence Lab

Stevens Institute of Technology
June 2014 – Current

  • Studying the computational principles behind neuromorphic computing.
  • Developing mathematical models to help determine what processes are necessary for computational and which are biologically necessary.
  • Working with GPU computing to increase the speed of numerical methods simulating large network models.
  • Current work includes computational implications of specific cells in the hippocampal formation; Speed, Grid, and Place cells to the internally computed model of the environment an animal maintains.

Hanlon Financial Systems Lab

Stevens Institute of Technology

  • Worked as part of a team to develop Financial Engineering Virtual Lab (FEVL) focusing on the Fannie Mae project, which studies the Fixed Rate Mortgage (FRM) data released quarterly by Fannie Mae.
  • One portion of the project is a case study exploring how the FRM market behaved before, during and after the 2008 financial crisis.
  • The other portion is as an educational resource to help people develop their skills in both statistical and programming aspects involved with the analysis of similar data sets.

Presentations

  • Joint Mathematics Meeting 2018
    Stochastic Neural Networks for Shortest Path Solutions
  • Joint Mathematics Meeting 2017
    Network Induced Pseudometrics
  • INFORMS Optimization Society Conference
    Learning in Neuromorphic Systems as an Adaptive Optimization Process
  • Mathfest 2011
    Non-commutative Albegras Generated by n-Vertex Paths
  • Moravian Undergraduate Mathematics Conference
    An Algorithm for Finite Words

Administrative Roles

  • Summer REU Coordinator
    Computational Intelligence Lab
    Stevens Institute of Technology
    Hoboken, NJ 07030
  • Graduate Research Conference
    Director
    Stevens Institute of Technology
    Hoboken, NJ 07030
  • Pi Mu Epsilon
    Chapter President
    William Paterson University of New Jersey
  • Mathematics Club
    President
    William Paterson University of New Jersey