About Me

I am a current Ph.D candidate at Cold Spring Harbor Laboratory in New York working on Computational Biology in the Koo Lab. My research focuses on developing efficient and interpretable genomic foundation models through knowledge distillation and architectural optimization, enabling scalable AI for biological discovery.

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

Experienced with model development, finetuning, and interpretation (attribution analysis, in-silico mutagenesis) using distributed training on HPC systems.

• Programming Languages: Python, Shell scripting, Java, MATLAB, and C.
• ML & Data Science: PyTorch, TensorFlow, Weights & Biases, Pandas, NumPy, SciPy, Matplotlib, Jupyter.
• Compute Environment: Linux, Git/GitHub, HPC clusters (UGE, Slurm), Conda, uv.
• Bioinformatics Tools: Minimap2, Samtools, Bwa, and Busco.