DR. Dvir Ross Research that survives contact with reality.
I work where statistical inference, algorithms, and real-world markets meet, with an emphasis on rigorous validation, uncertainty, and the difference between an interesting result and a robust one.
Quant Research
Systematic trading research, strategy validation, backtesting, statistical inference, market behavior, and live research notes.
Academic Research
Peer-reviewed work and research projects across probability, statistics, algorithms, networks, and applied mathematics.
Supervised Projects
Selected student projects spanning quantitative finance, NLP, networks, navigation, algorithms, and interactive software systems.
Writing
Longer-form versions of ideas from LinkedIn and elsewhere, across markets, mathematics, data science, research, and teaching.
Interested in work that can be tested, challenged, and scaled?
I am open to serious conversations around quantitative research, strategy validation, research partnerships, and systematic trading.
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