Brian Zhou Liu
New York, NY · brianliu0317@gmail.com · LinkedIn · GitHub
Education
University of California, San Diego
B.S. in Data Science, AI & ML Specialization
La Jolla, CA
GPA: 3.95/4.00 · Expected Jun 2028
Technical skills
- Languages
- Python, Java, C++, SQL, TypeScript/JavaScript, Rust, Bash
- Frameworks & libraries
- PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, React, FastAPI
- Data & infrastructure
- PostgreSQL, MongoDB, ChromaDB, Git, Docker, GCP, Cloud Run, Cloud SQL
Experience
Jan 2026 - Present
La Jolla, CA
Q-Lab, UC San Diego
Research Intern under Prof. Lianhui Qin
Building and evaluating AI systems for scientific simulation and single-cell forecasting.
Jan 2026 - Present
La Jolla, CA
Q-Lab, UC San Diego
Research Intern under Prof. Lianhui Qin
Building and evaluating AI systems for scientific simulation and single-cell forecasting.
- Co-developed SIGA, a Claude Code adapter that configures scientific simulators; built its ChromaDB retrieval layer, MCP XML validator, and plugin framework, and co-authored the accompanying preprint.
- Led a 30-task OpenFOAM transfer study; SIGA's best configuration scored 0.870 accuracy with 30/30 complete cases.
- On harder held-out GEOS tasks, SIGA raised accuracy by 9.6% from 0.720 to 0.789 and reduced run-to-run standard deviation by about 16x.
- Developed a direct encoder-decoder Transformer to forecast four future single-cell states from 100,000 trajectories; achieved R² = 0.536 across 3,201 output genes and R² = 0.857 on the top 50 dynamic genes.
Oct 2025 - Feb 2026
Remote
Asakana (YC F26)
Product Development Intern
Automated supplier data entry and built an AI-assisted ordering system.
Oct 2025 - Feb 2026
Remote
Asakana (YC F26)
Product Development Intern
Automated supplier data entry and built an AI-assisted ordering system.
- Deployed a first-generation OCR/ETL pipeline with Gemini Flash-Lite, automating previously manual supplier entry for 10,000+ products from PDF and Excel sheets into MongoDB.
- Developed a Dialogflow CX ordering agent backed by Cloud SQL and REST APIs, with Twilio SMS notifications and automated pricing-rule enforcement.
Sep 2024 - Dec 2025
La Jolla, CA
Rare AI Lab, UC San Diego
Research Intern under Prof. Aobo Li
Developed surrogate models that made detector-design optimization cheaper to run.
Sep 2024 - Dec 2025
La Jolla, CA
Rare AI Lab, UC San Diego
Research Intern under Prof. Aobo Li
Developed surrogate models that made detector-design optimization cheaper to run.
- Implemented a multi-fidelity surrogate optimizer combining conditional neural processes and Gaussian processes, reducing detector-simulation cost by 90% for experimental design exploration.
- Co-first-authored "Efficient Optimization of COHERENT Detector Design Parameters with RESuM," accepted to the NeurIPS 2025 ML4PS Workshop.
Mar 2023 - Nov 2023
Atlanta, GA
MAIX Lab, Emory University
Research Intern and Regeneron STS Top 300 Scholar under Prof. Ran Xiao
Built deep-learning models for cardiac screening from ECG data.
Mar 2023 - Nov 2023
Atlanta, GA
MAIX Lab, Emory University
Research Intern and Regeneron STS Top 300 Scholar under Prof. Ran Xiao
Built deep-learning models for cardiac screening from ECG data.
- Constructed an anatomically informed feature tensor for cardiac screening using XResNet, achieving 93.7% AUC.
- Boosted model sensitivity to 85.5% with 1D convolutional layers that capture cross-lead patterns.