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Came from a computer science background in undergrad at University of Connecticut. Then transferred to New York Tech for Master's computer science specifically wanting to focus on building quantum computing.
Worked at Qubit by Qubit as Quantum Education Fellow as a developer of quantum algorithms via accessible python notebooks and worked on the curriculums and labs. Had 4 interns under me as well 2 from Harvard, and 2 from MIT. They were all phenomenal students. And led meeting with TAs of various institutions as well who TA the labs for the courses. Was involved in creating powerpoints for the semester's curriculum as well as developing Microsoft's Winter School for Azure Quantum.
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Methods of the Interdisciplinary Strategy in Quantum Computing at NYIT selected to be a poster at Max Planck Institute of Physics 2020.
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Wrote public article on Entering the 2020s: Introducing & Understanding Q-Computing published in Data Driven Investor
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Advocate for proactive diversity in quantum computing for innovation written in " Quantum Computing & #BLM — An uncomfortable truth."
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Created discussion channels and provided education materials to students interested in learning how to build, program, and work on quantum computers at NYIT's quantum computing club 2020-2024.
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Master's Paper selected for ACM Quantum Programming conference in University of Tokyo & flash talk, 2023
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Master's Paper selected in IEEE Quantum Education 2023 for poster and flash talk.
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Poster submitted and presented for Robust Quantum Simulation workshop at Princeton.
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Got awarded as Best Mentor by the students of the haqathon at NYU-Haq 2024.
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Currently in weekly "Ensemble Group" with collaboration with members of of CUNY, Columbia, NYU, & NYIT led by Seth Cottrell developing an undergraduate textbook on quantum information theory.