Statistical modeling and machine learning in Python and R. Exploring the intricate relationship between genetic variations and complex traits, reshapes our understanding of human biology, and paves the way for targeted interventions to address health disparities.

Invited as a top-performing first-year student skilled in advanced quantitative analysis and innovative trading strategies within a high-stakes financial setting.

Won the competition by demonstrating exceptional skills in investment, trading, and technology.

Lead team of five analysts through research, data analysis (Python, Stata), paper writing, and presentation.

Pioneer the world's largest student-run women in tech conference.

Represent Harvard students liaising with NCWIT affiliated corporations, universities, startups, and nonprofits.

Leverage statistical modeling tools in Python to deliver actionable insights for client’s expansion into new regions in Canada.

Study human genetics, meta-analysis, statistical methods accounting for detection limits in biomarker data.

Conceptualized and engineered a machine learning classification model that amplified project efficiency by 70 times.

Created an advanced dashboard to monitor and analyze employee achievement; Conducted research to identify strategies for enhancing employee diversity and inclusion.