Sina Khazaei

May 2025 - Present

• Supporting AI-integrated product engineering initiatives as part of a cross-functional team.
• Assisting in the development of AI models and algorithms for product development.
• Focused on accelerating product development cycles through data science, automation, and ML integration.

March 2024 - April 2025

• Designed and led an introductory computer science course for 10+ students, covering OOP, algorithms, data structures, and debugging in Python.
• Wrote and graded assignments, provided weekly lectures, and adapted course material to student needs
• In collabortion with fellow students and Stanford.

September 2022 - April 2023

• Leveraged linear and logistic regression alongside multivariate statistical techniques to analyze 30,000+ genomic markers and 400+ environmental variables, identifying key drivers of trait expression and informing optimized strawberry-breeding strategies.
• Reverse-engineered 3,000+ lines of R code; streamlined data prep using tidyverse and integrated pipeline with Beagle software for gene phase prediction.
• Deployed compute jobs on Linux-based FARM clusters; validated data quality and shared results in weekly presentations.

June 2022 - February 2023

• Contributed to research on lipoprotein A levels, analyzing statistical relationships between diet, ethnicity, and biomarkers.
• Applied linear regression and multiple hypothesis correction in R; visualized results for internal reports.
• Coordinated lab workflows and ensured clean data pipelines from experimental design through analysis.

October 2020 - January 2021

• Conducted image grading of retinal scans for 87 patients in macular degeneration study.
• Developed a standardized scale for cross-team evaluation, improving consistency across 3 researchers.
• Analyzed treatment efficacy by comparing image-based scoring across control vs. experimental groups.