About Me

I am a Ph.D. candidate in Computational Biology at Cold Spring Harbor Laboratory in New York, working in the Koo Lab. My research focuses on improving the reliability, efficiency, and interpretability of biological sequence models through uncertainty estimation, knowledge distillation, and architectural optimization.

This website contains brief descriptions of the projects I’ve been working on and my resume.

Interests

• Deep learning applications in biology
• Model efficiency and architectural optimization
• Uncertainty quantification in deep learning
• Interpretable machine learning

Technical Skills

Experience developing, fine-tuning, and interpreting biological sequence models, with distributed training across clusters and cloud infrastructure.

• Programming Languages: Python, Shell scripting, Java, MATLAB, and C.
• ML & Data Science: PyTorch, TensorFlow, Weights & Biases, Pandas, NumPy, SciPy, Matplotlib, Jupyter.
• Systems & Compute: Linux, Git/GitHub, SLURM, UGE, AWS, Run:AI, Conda, uv.
• Bioinformatics Tools: Minimap2, Samtools, Bwa, and Busco.