Experience

The Coding School

• United States
• E-Learning Providers
• 1 - 100 Employee

• QubitxQubit Outreach Ambassador

  • Mar 2023 - Present



Research@Nueva

• Researcher

  • Jan 2023 - Present

  • Conduct research in the field of Quantum Natural Language Processing (QNLP) • Conduct research in the field of Quantum Natural Language Processing (QNLP)



The Nueva School

• United States
• Primary and Secondary Education
• 100 - 200 Employee

• Math Peer Tutor

  • Oct 2022 - Present

• Cross Country Team Co-captain

  • Jul 2022 - Present

• Varsity Track and Field Athlete

  • Mar 2021 - Present

  • School record in shot put and discus

• Varsity Cross Country Athlete

  • Jun 2020 - Present

  • 2021: achieved 1st place team and 7th place individual in CIF-CSS Championships, competed in CIF State Championships• 2022: achieved 4th place team in CIF-CCS Championships, competed in CIF State Championships

• Track and Field Team Co-captain

  • Jan 2022 - Present



DATAS (Nueva Journal Club)

• United States
• Research Services

• Team Stable

  • Aug 2022 - Present

  • Manage team stability• Recruit and onboard new members to the team

• Team Member

  • Sep 2020 - Present

  • Prepare and facilitate meetings with presenters to produce clear and engaging presentations• Critically read and discuss scientific papers with a focus on data; topics ranging from the science of economic sanctions to theories that could merge quantum mechanics and general relativity



Nueva Quantum Club

• Education

• Founder and President

  • Sep 2021 - Present

  • Facilitate guest speakers over Zoom and in person who are knowledgable in the field of quantum computing • Lead the club on field trips to state-of-the-art quantum labs • Write weekly newletters for members to stay engaged in this rapidly advancing field • Facilitate guest speakers over Zoom and in person who are knowledgable in the field of quantum computing • Lead the club on field trips to state-of-the-art quantum labs • Write weekly newletters for members to stay engaged in this rapidly advancing field



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• Research Intern at the Good Lab

  • Jun 2023 - Aug 2023

  • Wrote Python code to explore Flux Balance Analysis as a method of simulating bacterial community collisions• Tweaked model parameters to gain insight• Presented results at Lab Meeting

• Research Intern at the Suzuki Lab

  • Jul 2023 - Jul 2023

  • Worked with graduate students to probe the magnetization dynamics of one of the lab's candidate spintronic materials, LAFO• Wrote a Python script to extract various material parameters from raw Ferromagnetic Resonance (FMR) and Superconducting Interference Device (SQUID) data• Presented work to lab members



Zapata AI

• United States
• Software Development
• 1 - 100 Employee

• Quantum Machine Learning Intern

  • Jun 2022 - Aug 2022

  • Developed technical documentation for Zapata's QML (Quantum Machine Learning) team • Developed technical documentation for Zapata's QML (Quantum Machine Learning) team



Wegman's Nursery

• Garden Nursery Worker

  • Jun 2022 - Aug 2022

  • Watered, organized, arranged, pruned, and took care of plants • Helped customers find their perfect plant • Transported soil to vehicles • Watered, organized, arranged, pruned, and took care of plants • Helped customers find their perfect plant • Transported soil to vehicles



The Johns Hopkins University

• United States
• Higher Education
• 700 & Above Employee

• Student Researcher – Whiting School of Engineering

  • Jul 2021 - Jul 2021

  • Engineering Innovation, college-level summer program • Completed lab activities in civil, chemical, electrical/computer, mechanical engineering & materials science • Final project: analyzed the efficacy of wood and metal materials in a model truss to calculate tension and compression forces on the truss elements • Engineering Innovation, college-level summer program • Completed lab activities in civil, chemical, electrical/computer, mechanical engineering & materials science • Final project: analyzed the efficacy of wood and metal materials in a model truss to calculate tension and compression forces on the truss elements



The Coding School

• United States
• E-Learning Providers
• 1 - 100 Employee

• Student – MIT/IBM quantum computing Course

  • Oct 2020 - May 2021

  • 8 month Quantum Computing course • Developed understanding of quantum computing including linear algebra, quantum mechanics, and algorithms • Can express QC concepts using Qiskit (open-source software development kit) • 8 month Quantum Computing course • Developed understanding of quantum computing including linear algebra, quantum mechanics, and algorithms • Can express QC concepts using Qiskit (open-source software development kit)



The Johns Hopkins University

• United States
• Higher Education
• 700 & Above Employee

• Student - JHU Center for Talented Youth (CTY) Program

  • Jan 2019 - Dec 2020

  • Disease Modeling, a 3-week virtual program. Used RStudio to model COVID-19 disease transmission rates over time. Analyzed the efficacy of various disease models, accounting for different variables of transmission and control. (Summer 2020) • Probability & Game Theory, a 3-week residential program. Applied mathematical models to calculate the risk and outcome probabilities in strategic games and geopolitical conflicts, finding Nash Equilibria and Pareto Optimality. (Summer 2019) • Honors Precalculus (8th grade) • Honors Algebra II (8th grade) • Honors Algebra I (7th grade) Show less



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• Student Researcher - Stanford University Pre-Collegiate Summer Institutes

  • Jun 2020 - Jun 2020

  • Computational Physics • Used Python to create a simulation of the human perception of color • Applied statistical test to measure the effectiveness of region classification in brain MRIs • Computational Physics • Used Python to create a simulation of the human perception of color • Applied statistical test to measure the effectiveness of region classification in brain MRIs