Israt Farah

Process and analyze large-scale genomic datasets on high-performance computing (HPC) clusters, building expertise in parallel computing, job scheduling, and scientific data pipelines Architect and maintain a genomic biobank that integrates data from multiple sources into a centralized, reproducible reference, providing researchers worldwide a scalable foundation for cross-institutional analysis Conduct fungal genomics research across a diverse range of species, applying structured analytical methods to explore complex, ambiguous datasets and advance understanding of biodiversity

Undergraduate Research Assistant - William & Mary — TIDAL Lab - Williamsburg

(2025-08)

• Process and analyze large-scale genomic datasets on high-performance computing (HPC) clusters, building expertise in parallel computing, job scheduling, and scientific data pipelines
• Architect and maintain a genomic biobank that integrates data from multiple sources into a centralized, reproducible reference, providing researchers worldwide a scalable foundation for cross-institutional analysis
• Conduct fungal genomics research across a diverse range of species, applying structured analytical methods to explore complex, ambiguous datasets and advance understanding of biodiversity

Business Analyst - A&F Tires - Hampton Roads

(2024-09)

• Increased sales 17% in the last fiscal year by designing and executing new advertisement strategies
• Rebranded the shop with a fresh logo and led a full visual identity redesign to strengthen market positioning
• Built and launched the business's first website, establishing an online presence and a new customer acquisition channel

Undergrad AI Fellow - Handshake AI - Remote

(2025-11 - 2026-02)

• Evaluate and improve LLM performance through prompt engineering, response ranking, and human-in-the-loop feedback, translating qualitative user feedback into quantifiable performance metrics
• Analyze model reasoning, surface biases, and assess accuracy using rigorous logical thinking, supporting data-driven decisions on model quality and reliability
• Collect, clean, and process data pipelines end-to-end, strengthening skills in structured and unstructured data analysis and insight generation

Teacher of Mathematics - Da Vinci Academy - Williamsburg

(2024-08 - 2025-06)

• Instructed 13+ students in Algebra and Geometry, reinforcing and extending material beyond Virginia DOE standards
• Tracked student performance data and achieved a 10%+ increase in performance averages through data-informed instruction
• Fostered problem-solving, critical thinking, and enthusiasm for STEM through student-centered instruction tailored to diverse learning needs

B.S. - Data Science (Concentration in Artificial Intelligence), Minor in Mathematics - College of William & Mary (2024-08)