Who I am

It’s a fantastic time in history to be working on data-driven products that advance humankind. As a Day-2 adopter of OpenAI’s ChatGPT, I’ve seen the transformative possibilities of computer-human interfaces, and I’m passionate about exploring the cutting edge of AI technology and the human brain.

I’m Python-Certified, with experience in Research and Data Analysis, Operations Efficiency, and Product Design. At my most recent job, I helped ideate and design the first AI product of an iconic Silicon Valley company. In my Covid-Gap year, I worked with bots and large data sets at an AI startup to leverage social media for the major 2020 political races. At NYU, I revamped a data science lab’s internal structure and streamlined task force operations, alongside research and published data analyses.

Research Completed

Dean’s Undergraduate Research Fund: Awarded the NYU College of Arts and Science Dean’s Undergraduate Research Fund, with team, for a study proposal titled "Investigating the Relationship Between the Severity of ADHD Symptoms and Music Taste" for data collection and analysis.

Published in New York University’s Integrative Psychology Review: One of two primary writers of “Muted Affect, Amped-Up Volume: Reduced Music-Evoked Fear Responses in Psychopathy,” based on results from a study done at NYU’s Fox Lab for Data Science and Psychology.

B.A. Tech and Communications (New York University – 5/23)

Certifications:Data Science and Machine Learning (Schwarzman College of Computing, MIT – 12/24)

Business Analytics (Wharton School, University of Pennsylvania - 8/24)

Nanodegree in AI Programming with Python (Udacity – 3/21)