Brian Lin

Computer Science & Neuroscience Student at Harvard University

Cambridge, MA 02138

brianlin@college.harvard.edu

(510) 734-7351

LinkedIn

GitHub

brian--lin.com

Education

Harvard College

Candidate for B.A in Computer Science and Minor in Neuroscience

Expected Graduation: May 2026

Relevant Coursework: Data Structures and Algorithms, Systems Programming and Machine Organization, Planning and Learning Methods in AI, Biological and Artificial Intelligence, Software Engineering with Generative AI (Fall)

Experience

Coinbase

Software Engineer Intern

May 2025 – August 2025

  • Expanded admin tooling for a service handling millions in user assets, doubling API coverage from 8 to 16+ endpoints to enable real-time debugging of balance discrepancies across Coinbase's portfolio platform.
  • Built end-to-end financial aggregation APIs using Go and GraphQL that combine user account data from 20+ microservices.
  • Increased customer support workflow efficiency by ~96%, reducing issue resolution time from hours to minutes.

Zeta Surgical

Software Engineer Intern

June 2024 – August 2024

  • Designed UI/UX prototypes with Figma, creating a frontend interface for dynamic file uploads and real-time data processing.
  • Analyzed datasets up to 35,000 points using NumPy, Pandas, and Matplotlib, generating interactive statistical reports for surgical navigation accuracy.
  • Developed PyQt5-based GUI application for cranial navigation system testing, reducing testing time by 80% and achieving company-wide adoption.
  • Authored usability paper based on a Human Factors Evaluation study of 20 neurosurgeons, showing 95% achieved high-performance scores with an average 7.6-minute setup time.

Bakar Computational Health Science Institute, UCSF

Data Science Intern

June 2023 – July 2024

  • Utilized NLP techniques via JupyterLab and Azure ML to analyze potential biases in ChatGPT responses across demographic variable groups, revealing varied language patterns across racial, sexual orientation, and gender identity inputs.
  • Created visualizations and frequency analyses with Python and Matplotlib, identifying that 28% of responses to Black demographic inputs mentioned discrimination and stigma, the highest among all racial/ethnic categories.
  • Published a paper on AI ethics in HIV-related health information, demonstrating that ChatGPT 4.0 acknowledged discrimination and stigma in 47 responses versus 1 in 3.5, underscoring the need for AI equity: HIV Stigma Exists.

The Wall Lab

Computational Neuroscience Research Intern

June 2021 - August 2021

  • Conducted research on socioeconomic factors influencing the timely diagnosis of Autism Spectrum Disorder (ASD), analyzing data from over 1,400 children using Excel.
  • Performed t-tests to assess the relationship between income and age of diagnosis, finding no significant difference, but revealing potential data collection biases.
  • Final Research Poster

Projects

Intracranial Hemorrhage Segmentation

Developed a deep learning model for automated segmentation of intracranial hemorrhages in CT scans using PyTorch and attention-enhanced U-Net architecture, achieving 0.85+ Dice coefficient on validation data.

Implemented data processing pipelines for multi-window CT scans with custom loss functions (Dice + Focal) and data augmentation techniques, resulting in a 30% reduction in false negatives compared to baseline models.

CSA Website

Redeveloped the Harvard-Radcliffe Chinese Students Association's website, transitioning from Squarespace to a custom HTML/CSS platform hosted on Netlify with GitHub integration: harvardcsa.org.

Implemented responsive design and created user-friendly interfaces for member engagement and organization information.

View Website

CooC Headband Inc.

Designed and built a full-stack pre-order website using HTML, CSS, JavaScript, and Flask for a startup that creates EEG headbands measuring meditation effectiveness: http://tinyurl.com/CooCHeadBandWeb.

Leadership & Activities

Harvard-Radcliffe Chinese Students Association

Executive Board Member

September 2022 - Present

  • Managed a $2000 budget and created a database connecting 100+ members across class years.
  • Organized funded dinners and retreats, fostering community engagement through partnerships with local businesses.

Alameda Unified School District/California Student Board Member Association

Student Board Member/Executive Cabinet Member & Expansion Committee Director

June 2020 - June 2022

  • Coordinated creation of new Student Board Member positions in districts representing 150,000+ students.
  • Led the passage of a resolution supporting Senate Bill 14: Mental Health Days as excused absences for high school students.

Technical Skills

  • Python
  • Go
  • C/C++
  • Java
  • JavaScript
  • HTML
  • CSS
  • SQL
  • MATLAB
  • OCaml
  • LaTeX

Developer Tools & Frameworks: Docker, Git, GraphQL, gRPC, Protocol Buffers, PyTorch, Flask, JupyterLab