Biochemistry & AI Integration

Bridging Wet-Lab & Computation

Biochemist with a B.S. from Arizona State University, interested in Molecular Biology, Data Analysis, and AI-driven Biomedical Discovery.

Bio-AI Fusion Visualization

About Me

I am a Biochemistry graduate from Arizona State University with a strong interest in research that bridges molecular biology, data analysis, and emerging computational methods.

My academic path specializes in how biological systems function at both the experimental and data-driven levels. Through upper-division coursework and applied projects, I have gained hands-on experience with molecular biology techniques while simultaneously pursuing computational research projects using Python and PyTorch.

Education

B.S. in Biochemistry

Arizona State University (Graduated May 2026)

Certifications

AI Engineer for Developers Associate (DataCamp 2025)
Python Data Associate (DataCamp 2025)

Research

Curious about applying AI-driven modeling to biochemical and immunological systems.

Coursework & Projects

AI & Biology

Protein Binding Topology

Modeled IgG antibody–peptide binding using 246K peptide array data. Built PyTorch neural networks to predict binding strength and visualize antibody recognition landscapes.

Python PyTorch Data Modeling
Immunology

Comparative Immune Response Modeling

Compared IgG binding data from Chagas, Dengue, and West Nile Virus cohorts using ANOVA and unsupervised clustering to identify immune signatures.

Statistical Analysis Clustering Immunology
Drug Discovery

Nivolumab Binding Analysis

Modeled the binding of Nivolumab (anti-PD-1) across peptide arrays. Identified potential off-target proteins and analyzed biological implications.

Neural Networks Epitope Mapping Bioinformatics
Wet Lab

Genomic DNA Extraction & PCR

Performed DNA extraction and PCR screening for genetic modification. Analyzed results with gel electrophoresis and aseptic technique.

PCR Gel Electrophoresis Aseptic Technique

Technical Expertise

Programming & ML

  • Python (Advanced)
  • PyTorch (Regression, NN)
  • MATLAB
  • Tableau

Research Tools

  • Excel & Access
  • SAS
  • Zotero
  • Data Analysis

design & Creative

  • Adobe Creative Cloud
  • AI Design Tools

Professional Experience

2025

GenAI for Proposal Generation

EAB Global, Inc. (Forage Simulation)

Drafted university partnership proposals using ChatGPT and data-driven strategies. Translated stakeholder insights into ROI-focused content.

2022-2023

Head Start Assistant

Minnesota Valley Action Council

Supported classroom operations, behavior interventions, and child development documentation. Collaborated with families to meet Head Start Performance Standards.

Posters & Presentations

  • L-DOPA Synthesis: Presented a poster visualizing thermodynamic and kinetic advantages using raw data from Goura et al. (2024).
  • CRISPR Editing Research: Reviewed and presented on CRISPR editing of eIF(iso)4E in Arabidopsis for potyvirus resistance (Pyott et al., 2015).

Get In Touch

I am seeking early-career research and professional opportunities in biochemistry and computational biology.