Tesa Ho

Tesa Ho is market research at Flashbots, angel at Fight Club, fren at Skylab.

· Angel in pre-seed and seed stage projects in Web3 applications and infrastructure. Former manager of a market-neutral crypto hedge fund.

· Experienced derivatives trader with a background in intraday momentum and arbitrage trading, strategy development, high and medium-frequency research, and establishing new businesses.

· Quantitative research - high and medium frequency predictive algorithms, statistical and machine learning, derivative pricing, lead-lag analysis, Kalman filters, volatility reversion.

· Specialization in Crypto, Futures and Options, Asia Equity Derivatives, Electronic Market Making, Volatility Arbitrage, Event-Driven, Momentum Trading, Prop Trading

· Skills: Python, R, kdb, C++, VBA. Artificial Intelligence, Machine Learning, Statistical Learning, Deep Learning, Natural Language Processing, Recommender Systems, Prediction Algorithms, Reinforcement Learning.

Education: MCS, Data Science (University of lllinois Urbana-Champaign) BSE, Mechanical Engineering (Princeton University) Certificate in Artificial Intelligence (Stanford University) Certificate in Data Mining and Analysis (Stanford University) Certificate in Quantitative Methods in Finance (Stanford University) Certificate in Finance (UC Berkeley) Neural Networks & Deep Learning Certificate (Coursera Deeplearning.ai)

Specialties: Recurrent Reinforcement Learning Deep Learning & Machine Learning Prediction Algorithms Expert Systems Quantitative Trading & Research Electronic Market Making and Proprietary Trading