Anna is a Financial Engineering student at Columbia University blending math, mechanics, and market intuition. From NASA to quantitative research labs, she brings a scientific lens to Wall Street’s chaos. Founder of CLQ, she’s rewriting the rules: one equation, one story, one unapologetically ambitious girl at a time!
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Sophia is a senior at Columbia University majoring in Operations Research: Financial Engineering. She focuses on quantitative trading and analytics-based decision-making, drawing on experience in trading, asset management, and private equity. Sophia brings a strong analytical and strategic approach to problem-solving in quantitative finance.

Samantha is a sophomore at Columbia University majoring in Applied Mathematics with a minor in Computer Science. Samantha brings problem solving and critical thinking skills from several administrative experiences. Samantha is passionate about helping women break the glass ceiling in the workplace and expanding equity in STEM education.

Grace is a sophomore at Columbia planning to major in Operations Research and minor in Applied Math and Sustainable Engineering. She is passionate about applying analytics and quantitative finance to promote socially responsible investing. She has technical experience in competition mathematics, robotics, and laboratory research (publications in ACS and Nanoscale) and creative experience in video editing and social media marketing.

Yunilza is a junior at Columbia University studying Economics and Mathematics. She has a keen passion for analytical finance and financial decision-making. Yunilza has prior experience with private equity and valuation research. She looks forward to continuing to expand her analytical skills through trading, alongside research methods within the quantitative realm.

Shrina is a sophomore at Columbia University majoring in Mathematics-Statistics with a minor in English. She brings a unique interdisciplinary approach to problems, with past experience in asset management and private equity. On campus, Shrina helps lead organizations that aim to empower women in STEM fields and FGLI students.

Tiffany is a sophomore at Columbia University majoring in Computer Science. She has a passion for quantitative finance, product, and software engineering, bringing a tech-focused perspective to the team. Tiffany has previous internship experience in product management and data science within the fintech space, along with hands-on research in machine learning and cybersecurity.

Ren is a sophomore at Columbia University studying Applied Mathematics, Economics, and Architecture. She combines her passions for design, mathematics, and engineering through work in real estate development, space architecture research, and Formula race car design. Ren brings a creative, analytical, and interdisciplinary perspective to the team.

Keona is a sophomore at Columbia University, majoring in Computer Science and minoring in Applied Math and Linguistics. She’s passionate about applying computational methods and mathematical modeling to finance. Keona brings a unique mindset and combines experience across multiple disciplines, including experience in competitive programming and math, research experience in robotics, and creative experience creating and managing social media branding.

Gabriella is a junior at Columbia University majoring in English and Political Science with a minor in Hispanic Studies. She brings strong communication skills, organizational experience, and dedication to community outreach through her involvement with NYSCAS and the Animal Shelter. Gabriella is passionate about applying her legal and business background to analyze risk and design strategic financial solutions.

Alice is a student at Barnard College studying Economics and Mathematics. Alice has a passion for quantitative trading and market analysis and a deep interest in AI technology. With experience in sales and trading, economics research, and mathematical modeling, she brings a strong foundation in financial strategy and data-driven problem-solving.

Angela is a student at Columbia University majoring in Computer Science with a minor in Applied Mathematics. She is passionate about applying mathematical modeling and machine learning to finance and technology. With a background in competitive math and economics, internships in machine learning, and award-winning independent research, she brings both analytical depth and an interdisciplinary perspective.