π PhD Candidate in Computational Biochemistry at UT Austin
𧬠Specializing in computational biology, machine learning, and bioinformatics
π¬ Research: Peptide and drug modeling with BERT-style architectures for drug discovery
- Peptide-Aware Chemical Language Model Predicts Membrane Diffusion of Cyclic Peptides - Journal of Chemical Information and Modeling, 2024
- Using Alternative SMILES Representations to Identify Novel Functional Analogues - Patterns, 2023
Programming & Data Analysis: Python, HPC, Virtual Screening, Data Science
Software & Tools: PyTorch, Pandas, NumPy, SLURM, Git, LaTeX
Research Methods: Machine Learning, Bioinformatics, Predictive Modeling, Peptide Modeling