cv

Technology and Digital Pedagogy Coordinator

NYU Institute of Human Development and Social Change

Supporting the NYU Prison Education Program's work to close the digital literacy divide in college-in-prison education, in collaboration with the Associate Director of College-in-Prison Programs, Executive Director, and Faculty Director.

• Assessing and documenting the technological infrastructure supporting incarcerated students — offline intranet systems, computer lab hardware, digital learning platforms, library technologies, and security-approved research tools — and identifying the gaps that limit access to academic materials.
• Co-designing and implementing surveys, focus groups, and infrastructural assessments with students and faculty to understand digital literacy practices, research strategies, and pedagogical needs inside a college-in-prison context.
• Building a programmatic knowledge base of approved technologies, technical skills, and offline digital research resources for faculty and students.
• Partnering with the NYU Division of Libraries, the New York State Department of Corrections and Community Supervision (DOCCS), and peer college-in-prison providers on strategic planning and shared resource development.
• Developing digital and pedagogical resources for both currently incarcerated students and formerly incarcerated students continuing their education post-release.

Graduate Research Assistant

Brown University

Research in the School of Engineering, supervised first by Professor Chris Rose and then by Professor Thomas Serre.

• Chemical vapor communication in turbulent flow: Karhunen-Loève channel characterization and statistical detection for digital communication using chemicals transmitted through the air and received by photoionization detectors.
• Computer vision and dataset curation for cleared, x-rayed, and fossil leaf images spanning hundreds of plant families.

Data Engineer and Computer Vision Researcher

Terramera Inc

Developed data engineering best practices and computer vision models for agricultural research.

MSc

Brown University

Electrical Sciences & Computer Engineering

BSc

University of Massachusetts Amherst

Physics

An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning

PhytoKeys

An open-access database of 30,252 vetted leaf images — 26,176 cleared and x-rayed leaves across 354 families and 4,076 fossil leaves across 48 families — assembled to support research and education in paleobotany, comparative leaf architecture, systematics, and machine learning.

High Speed Chemical Vapor Communication Using Photoionization Detectors

2018 IEEE Global Communications Conference (GLOBECOM)

Data transfer between a chemical vapor emitter and photoionization detectors under constant velocity gas flow. The channel is characterized using a Karhunen-Loève expansion, achieving 20 bps at roughly a 1e-3 error rate.

High Speed Chemical Vapor Communication Using Photoionization Detectors in Turbulent Flow

IEEE Transactions on Molecular, Biological and Multi-Scale Communications

Extends chemical vapor communication to turbulent flow, projecting sensor traces onto a Karhunen-Loève-derived signal space to reach 40 bps over meter-scale emitter-sensor separations by accounting for inter-symbol interference.