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EDUCATION

University of California, Berkeley

B.A. Computer Science & Data Science

Emphasis in Computational Methods in Molecular & Genomic Biology

RÉSUMÉ

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HOBBIES

🎨Design
📸Photography
🥾Hiking
☕Coffee

FOCUS

Machine Learning & Computational Biology

Leveraging AI and statistical modeling to explore complex biological systems and molecular data.

My interest bridges data-driven computational approaches with biological research, with a particular emphasis on leveraging machine learning and statistical modeling to explore complex biological systems and molecular data.

Engineering Principles

How I approach design and product decisions.

Research-Driven
Product-Focused

Product-Focused

My designs aim to solve real problems, creating interfaces that streamline complexity while aligning with business goals.

User-Centric

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