NYU • Mathematics & Computer Science • Quant Research & Trading
Quantitative researcher with a strong foundation in applied mathematics, probability, and computer science. Experienced indeveloping statistical models, analyzing large datasets, and building high-performance computational tools for research in bothfinancial and scientific domains. Passionate about tackling open-ended, data-driven problems through rigorous testing,collaborative iteration, and creative problem solving.
I build robust quantitative research tools for options and macro, balancing speed and efficiency with sophistication and statistical rigor.
Data-driven logical approaches, clarity, honesty, and measurable impact, led by risk-centric judgement.
Exploring vol-of-vol regimes, fast interpolation of surfaces, and better backtest hygiene.