Projects, experiments, and work demonstrating applied intelligence.
Simulates 10-year portfolio outcomes across three investor archetypes — Rational, Loss-Averse, and Overconfident — using correlated Student's t-distributions to model realistic fat-tailed market returns. Quantifies the dollar cost of behavioral biases grounded in Prospect Theory (Kahneman & Tversky) and overconfidence research (Barber & Odean).
An app that generates personalized recipes based on available ingredients, dietary restrictions, and nutritional goals. Uses computer vision to identify ingredients from photos and machine learning to suggest optimal cooking methods.
Behavioral Bias Lab is a deployed interactive platform where users participate in short decision experiments that demonstrate cognitive biases. The system continuously collects participant responses, aggregates behavioral data, and generates visualizations that allow users to compare their decisions with broader decision-making patterns.
Collaborated with researchers in the Lehigh University College of Arts and Sciences on sociology research analyzing data from the Seattle Police Department. Used statistical and programming tools to clean, structure, and analyze large social datasets, then built visualizations and summaries to communicate patterns in emergency response and support ongoing academic research.
A comprehensive toolkit built through hands-on experience, academic rigor, and continuous learning.
Skills & technologies
Programming
Data Science
Web Development
Research
Entrepreneurship
Next.js
React
TypeScript
Python
R
PostgreSQL
Supabase
Firebase
Docker
Photoshop
Arduino
GitHub
I have always been the kind of person who gets pulled in by things I do not fully understand. In sixth grade, I ran an origami business out of my backpack. I did not think of it as entrepreneurship at the time. It was just something I wanted to try.
That pattern has stuck around. A lot of what I have worked on started as a question I could not quite answer, whether that was building oxygen sensors in a materials science lab, writing code to study behavioral patterns, or digging through data trying to figure out why something was not adding up. I have learned to treat that discomfort as a signal to lean in, not wait.
Most of my time gets split between data, research, and building things. I co-founded an AI club, work as a sociology data analyst, and spend too many late nights on side projects that may or may not go anywhere. Some turn into something real. All of them teach me something. I care about the process just as much as the outcome.
Hockey has been a constant since I was young. I captained my high school team and continue to play at Lehigh. I also played clarinet for years, which taught me more about patience and repetition than I expected. Outside of these things, I like skiing, golfing, reading, traveling, and conversations that go longer than they were supposed to.
I tend to do my best thinking when I am overly immersed—long nights, challenging work, new topics and ideas. Although admittedly excessive at times, I have found a true ardor for the process. It's the busy days, full of moving parts, where I thrive most. As I seek the answers to new questions and explore new spaces, I am fueled by one phrase: Why Not?
drag to explore
My bookshelf as a kid
Math notes on a chalkboard
First time on a Bloomberg terminal (exciting!)
HS Senior Year Hockey
Senior year in band
playing Hockey at Lehigh
Grandparents and sister in Japan
Welcome to my portfolio, and thanks for taking the time to explore it. I started this project about four months ago, originally just for fun, after feeling frustrated by how limiting a traditional resume can be. It never really felt like it captured how I think, what I enjoy building, or the passions behind my work.
I have always valued being able to express myself, and I wanted a space where I could present my experience, skills, and projects in a way that actually reflects that. This portfolio is what I decided on.
Along the way, this project turned into much more than I expected. It challenged me technically and creatively, and pushed me to figure things out that I had never done before. It came with a lot of late nights and a fair amount of trial and error, but I really enjoyed the process of building it from the ground up. I hope it gives you a better sense of who I am beyond what I do.
I tend to follow questions wherever they lead. Most of what I build starts with something I do not fully understand yet, and I enjoy the process of figuring it out along the way.
I learn best by doing. I like testing ideas, seeing what works, and then improving from there. A lot of my progress has come from trying things that did not work the first time.
I am drawn to the overlap between fields. Whether it is data, research, or building projects, I like finding ways they connect and using that to approach problems differently.
This work is not just about finished results. I try to share the thinking behind what I build, including the mistakes, because that is where most of the learning actually happens. I also enjoy talking with others, hearing different perspectives, and learning through those conversations.
Whether you have a project idea, research opportunity, or just want to connect, I am always open to meaningful conversations.