I'm Laurie Luo, a senior studying CS+Math @ Harvey Mudd College. I am excited to collaborate and solve challenges with different people together. If you like my passions and want to make friends, feel free to reach out!
Hey! It's Laurie Luo and I'm a senior majoring in CS + Math at Harvey Mudd College. I love discovering stories behind data, and Collaborating with talented peers to explore new things. I am a cluster algebra girl. In my free time, I like aerial silks and table tennis.
If you like my passions and want to make friends, feel free to contact me here.
Programming Languages
Languages
I interned at Ellison Institute of Technology as a Data Scientist.
Website
I interned at Seven Eight Capital as a quantitative researcher focusing on index rebalancing events.
Website
The SNIA IOTTA Trace Repository is a Web site that contains over 20 TB of scientific data related to computer storage systems, mirrored at three locations around the world. Researchers use the data from this site to evaluate and understand how computer storage operates in the real world. Over 550 papers have been published using data downloaded from the site. This project is about maintaining and enhancing the Web site.
I worked with the Ruby on Rails Web-development framework concentrated on usability issues to add features, such as searchbox, and fix problems. I also helped to locate, prepare, and post new data that has been collected in recent research projects.
Website
We built breeezy to encourage everyone to go outside more, build and nurture communities, and simplify logistics and increase sustainability. Our goal is to do everything we can to make it easier for people to go outside, from college students and new grads to parents and children. Maps, weather, and AI integrations make it easy to discover and host outdoor activities, and we hope to have everyone feeling a bit more breeze. Collaborated with David Chen, Rohan, Kishore.
Website
Your AI-powered compass in the TikTok universe. Leveraging the latest in GenAI and RAG technologies, TokGen offers a constellation of personalized, trend-driven content ideas that ensure your creations resonate with audiences and ride the wave of viral trends. Build with: OpenAI Whisper Transcription Model, Pydantic with LlamaIndex Program, Google Gemini Multi-modal Model, LlamaIndex Fusion Retrieval, Qdrant Vector Database, Streamlit Frontend Collaborated with Hanzhe Long, Dongming Li, Mckenzie Prince, and Anar Taori.
Github
The project proposes to develop a neural network-based system for the classification of climbing holds, aiming to distinguish between various types such as Crimp, Jugs, Pinch, Sloper, and Pocket. However, there is a limited number of labeled data for each hold. To address the challenge of limited labeled data, we implemented the MixMatch algorithm, a semi-supervised learning approach that utilizes both labeled and unlabeled data, thus improving the model’s performance and reliability. Collaborated with Maxine Liu, Ian Li, Eric Chen.
Github
This is an AI Text Analyst to help you determine if it's flirting or friendzone. We trained the classification model in Cohere and we select the dataset from movie scripts. Then, we used Next.Js, TypeScript and TailwindCSS to build out our front end. The app is mostly on a single page, and we came up with some fun animations to keep the user engaged. The backend was written in Python and Flask. We tied in Cohere's and OpenAIs APIs into our own REST API so that we could serve our front end well. Collaborated with Kerria Pang Naylor, Arjun Taneja.
Github
Collaborating with Amy Zhong, Rin Ha, Amani Maina-Kilaas, Subi Lumala, and Olivia Yin to study the vectorization of inductive bias for ML regression algorithms for analysis and comparison of the biases of different algorithms using scikit-learn; Problem-solving how to represent vectors of continuous search spaces into a discretely-sized vector; Researching solutions using Kernel Density Estimation, Conditional Density Estimations, and Hashing Tricks.
Website
Associated a quiver to a quasi-triangulation of a non-orientable marked surface. Defined a notion of quiver mutation. Proved the unistructurality of the quasi-cluster algebra arising from the Mobius strip.
Paper
Work on problems in Kac-Moody algebras to find the dimensions for indefinite type generalized Cartan matrix.
Paper
Worked on number of triangulations on a Mobius strip. Paper accepted by Involve Journal and presented to seminars in University of Minnesota and University of Kentucky.
Paper
The Berkeley Trading Competition is the West Coast's premier intercollegiate trading competition hosted by Traders at Berkeley. I place 14th on Game Durant -- a data science challenge.
Website
Prosperity is a 10-day global challenge hosted by IMC Trading. Teams are challenged to combine python skills, strategic insight and analytics to trade on a virtual market and bring most prosperity. Ranked 25 among 7169 teams.
Website
I participated in the UChicago Trading Competition 2023. Made my way to the final table in the poker tournament, I ended up taking the 2nd place out of 140 participants.
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