CV

Education

• Ph.D. in Computer Science, University of British Columbia, 2022 - ?
  • transferred from NJIT to UBC in 2022
• [Unfinished] Ph.D. in Computer Science, New Jersey Institute of Technology, 2020 - 2022
• M.S. in Data Analytics, Fordham University, 2018-2020
  • Visiting Student, NYU-Tandon 2019-2022
• B.S. in Mathematics, Fordham Univeristy, 2012-2016

Work experience

• Geometric Data Analytics
  • Summer 2022: Research Scientist Intern
    • Multi-agent reinforcment learning research
• New York University
  • 2019 - 2022: Guest machine learning reseacher at Game Innovation Lab
    • researched open-ended learning and games
• Fordham University
  • 2019-2020: Teaching Assistant – Natural Language Processing
    • Help prepare lecture
    • Grade student homework and provide feedback and code-reviews
    • Host office hours to answer questions and facilitate learning
• Fordham University
  • Summer 2019: Computational Research Intern
    • Full-Stack development work on DARPA-SD2E - ESCALATE: Pseudo-Random sampling of chemical experiments and automated materials science research platform.
    • Integrated machine learning models on ESCALATE to aid the materials discovery process and predict chemical-reaction outcomes in perovskites.
    • Supervisor: Dr. Joshua Scrier
• Instrumental Inc.
  • Summer 2018: Machine Learning Engineer Intern
    • Created and adapted metrics around anomaly detection in image processing
    • Researched machine learning algorithm improvements by finding, reading, and implementing academic papers
    • Researched, found, tested, and integrated a new algorithm into Instrumental’s ML Stack that improved accuracy
    • Supervisor: Simon Kozlov
• nTopology
  • Software Engineer Co-op: October 2017 - March 2018
    • Ported, cleaned-up, improved, and optimized mathematical C++ code from Element 1.0
    • Created new internal facing debug and external facing design tools speeding-up testing and asset creation
    • Helped develop data-driven design and modeling tools on the front and back-end
    • Interfaced between the mathematical kernel team and the design team
• School District of Clayton
  • August 2016 - May 2017
    • Refer to the lesson plan left by lead teacher and work with students to help solidify new concepts
    • Manage classroom order by encouraging task adherence and appropriate classroom behavior