Alan Liang

I'm a Computer Science master's student at USC and a machine-learning researcher at the USC Information Sciences Institute. There I build structure-aware models of protein interaction, predict TCR–pMHC binding, and analyze immunology data for cancer-vaccine research.

I also study how language models fail. That work spans unlearning and safety in LLMs, and dialect bias in toxicity detection.

View CV

I'm applying to PhD programs for Fall 2027 admission.

News

May 2026: Submitted PIT-GCL to NeurIPS 2026.
Nov 2025: Joined AI4Health at USC ISI, advised by Ruishan Liu.
Sep 2025: Presented at FedCSIS 2025.
Jul 2025: Placed 7th overall in the FedCSIS 2025 Chess Puzzle Difficulty Prediction Challenge. Results published in IEEE.

Education

University of Southern California

Aug 2025 – May 2027 (Expected)

M.S. in Computer Science · Los Angeles, CA

University of California, Riverside

Sep 2021 – Mar 2025

B.S. in Computer Science · Riverside, CA

Research interests

Biomedical machine learning · Protein interaction modeling · TCR–pMHC recognition · Representation learning · Natural language processing · Adversarial training · Immunology data science · Cancer vaccine design

Skills

Languages: Python, Java, Scala, C++, JavaScript, TypeScript, SQL
Libraries: PyTorch, PyTorch Geometric, XGBoost, AlphaFold, Biopython, SciPy, Transformers (Hugging Face), scikit-learn, pandas, NumPy, TensorFlow, Matplotlib
Tools & Platforms: Git, Docker, GCP, AWS, Hadoop, Spark, Azure