Summary
Wei Peng is a quantitative analyst with nine years of experience applying advanced statistics and time-series methods to energy markets and biomedical screening. Currently at Tios Capital, he develops energy price forecasts and trading strategies for day-ahead power markets and ICE financial contracts. His background includes data science work on non-invasive prenatal screening and a PhD in Statistics from the University of Pittsburgh (3.99/4.0), reflecting deep probabilistic and computational expertise. He has taught and consulted across a wide range of applied statistics courses, bringing clarity to complex models for students and stakeholders. Comfortable bridging research and production, Wei combines rigorous academic training with practical strategy design for high-stakes markets. A detail-oriented thinker, he leverages cross-disciplinary coursework (including stochastic calculus and NLP algorithms at Carnegie Mellon) to find non-obvious edges in data-driven trading and screening problems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Nanjing University
Beijing International Center for Mathematical Research (BICMR), Mathematics (Enhanced Program for Graduate Study), Beijing International Center for Mathematical Research (BICMR), Mathematics (Enhanced Program for Graduate Study) at Peking University
Cross Registration, 21880-Stochastic Calculus, 11711-Algorithms for NLP, 4.0/4.0, Cross Registration, 21880-Stochastic Calculus, 11711-Algorithms for NLP, 4.0/4.0 at Carnegie Mellon University
Doctor of Philosophy (PhD), Statistics, 3.99/4.0, Doctor of Philosophy (PhD), Statistics, 3.99/4.0 at University of Pittsburgh