Yuwen Yu, a Computer Science PhD student who works with Professor Sarah Ita Levitan, along with a Physics student Joe Yin, won big at a recent datathon for prospective quantitative PhD. 

The PhD students were on a team that won third place at the highly competitive Schonfeld Early Engagement Summit, an annual contest challenging teams to create machine-learning models for predicting stock returns. Teams were given five hours to build Artificial Intelligence models using Python programming language, along with $10 million in virtual funds to use for trades.

“I’d like to thank Hunter Professor Sarah Ita Levitan,” Yu said. “She is always supportive, and having the opportunity to attend and win the competition would not have been possible without her mentorship and encouragement.”

Read more about it here: https://hunter.cuny.edu/news/cuny-grad-students-ace-quant-competition-thanks-to-hunters-help/?news-feed=all-news&source=95770