EDUCATION
University of California, Berkeley
B.A. Computer Science & Data Science
Emphasis in Computational Methods in Molecular & Genomic Biology
Engineering Principles
How I approach design and product decisions.
Product-Focused
My designs aim to solve real problems, creating interfaces that streamline complexity while aligning with business goals.
Research-Driven
I prioritize understanding users and their needs, using research and data to inform design decisions that simplify complex processes.
Skills
01
Programming
Building with clean, efficient code.
- Python
- SQL
- Java
- JavaScript
- HTML
- CSS
- C
02
AI & Machine Learning
Models that learn and predict.
- PyTorch
- TensorFlow
- Scikit-learn
- NumPy
- Pandas
- Bambi
03
Computational Biology
Where code meets molecular data.
- BioPython
- Clustal Omega
- AlphaFold
- JBrowse
- Single-Cell Analysis
- Gene Annotations
04
Data Analysis & Visualization
Turning data into insights.
- Plotly
- Seaborn
- Matplotlib
- Clustering
- Decision Trees
- Tableau