Wistan Chou

Wistan Chou is a Machine Learning Engineer at Lev. Wistan previously worked as a Senior Software Engineer at Salesforce from September 2019 to September 2021, where they conducted quantitative research focused on using machine learning to analyze alternative data, created a genetic algorithm-based pipeline to find specific and optimal stock portfolios based on time series data, used LDA and other unsupervised NLP algorithms for topic modeling and embedding stocks based on unstructured data, and built a real-time social media sentiment analyzer to estimate the live sentiment of products during product releases. Prior to that, they interned at Salesforce from June 2018 to August 2018, where they worked on machine learning models in the Search Ranking team within Salesforce Search Relevance, created a query-independent global search re-ranking model using sparse MRU affinity features that scaled Salesforce’s personalized search from 10 to 500 organizations, leveraged NLP to build query-specific models based on named entities, worked on feature linearization using rc-splines and discovering significant first-order feature interactions, and worked on using adversarial learning for cross-organization regularization for search re-ranking.

Wistan Chou obtained a Bachelor’s Degree in Mathematics and Computer Science from Swarthmore College. Wistan then went on to be a Visiting Student in the field of Computer Science and Mathematics at the University of Oxford. Finally, they completed their High School education with an IB Bilingual Diploma from the International School of Beijing.

Some of their coworkers include Matias Herranz - Senior Frontend Engineer, Matias Ponce - Senior Backend Engineer, and Benji Trosch - Front-End Engineer. Wistan Chou reports to Alberto Sheinfeld, Chief Technology Officer.