I work in the Crypto, Fintech, & Web3 Lab with Professor Marco Di Maggio and Professor Shai Bernstein.

Lucy Labs is a multi-strategy cryptocurrency asset management firm focused on developing and applying quantitative and fundamental trading strategies in major spot, lending, and futures cryptocurrency markets. The Lucy Labs’ team has extensive knowledge and an advanced understanding of the cryptocurrency market structure and related trends.Lucy Labs manages a range of quantitative strategies exploiting momentum and carry factors, targeting moderate to aggressive returns while maintaining rigorous risk management and strategy-specific structures to reduce the volatility inherent in the cryptocurrency markets. The firm also acts as a market maker and liquidity provider in both centralized and decentralized exchanges.Founded in 2017 as proprietary trading firm, the firm has achieved significant trading profitability in each year of operation. The Lucy Labs team has 20 plus years of cryptocurrency research and trading experience in addition to prior experience in quantitative trading, private equity, venture capital, FinTech, derivatives and fundamental equity/fixed income analysis.

Grader for the STAT 23400 Statistical Models and Methods course. Course description:This course is recommended for students throughout the natural and social sciences who want a broad background in statistical methodology and exposure to probability models and the statistical concepts underlying the methodology. Probability is developed for the purpose of modeling outcomes of random phenomena. Random variables and their expectations are studied including means and variances of linear combinations and an introduction to conditional expectation. Binomial, Poisson, normal, and other standard probability distributions are considered. Some probability models are studied mathematically, and others are studied via computer simulation. Sampling distributions and related statistical methods are explored mathematically, studied via simulation, and illustrated on data. Methods include, but are not limited to, inference for means and proportions for one- and two-sample problems, two-way tables, correlation, and simple linear regression. Graphical and numerical data description are used for exploration, communication of results, and comparing mathematical consequences of probability models and data. Mathematics employed is to the level of single-variable differential and integral calculus and sequences and series.

Taiwanese American Student Association (TASA) is an organization that strives to explore Taiwanese culture as well as engage and educate the greater University community about Taiwan and Taiwanese culture.During my time as VP, the RSO won the William J. Michel RSO Award of the Year. Award description: The highest honor bestowed upon an RSO, this award is presented to one exceptional RSO for its contributions to the campus community. The selection committee’s decision is based in part on the extent to which the RSO’s contribution exceeds what is normally expected of an active organization, as well as the impact the RSO has had on the campus community.