I am an incoming Ph.D. student at the finance group of the MIT Sloan School of Management. I am interested in FinTech, entrepreneurship & innovation, and labor & technology. I received M.S. Statistics from the University of Chicago in July 2019. Before that, I was a machine learning engineer at SHUFE-RIIS and Cardinal Operations in Shanghai, China. From 2014 to 2017, I studied Mathematics at the University of California, Los Angeles (UCLA) and received a B.S. degree with summa cum laude and departmental honors. I published a large-scale machine learning optimization algorithm in IEEE Trans. Signal Process. with Dr. Kun Yuan and Professor Ali H. Sayed at UCLA. Before running out of my spare time, I practiced quantitative trading in the Chinese stock market. I am from Zhengzhou, China.
Feel free to contactme @ jiagengliu.com
April 5. I presented recent literature on Blockchain & Cryptocurrency in a recent reading group at HBS. See the slides at this link.
March 2. I am admitted to the finance Ph.D. program at MIT Sloan. Looking forward to studying courses 14 and 15 in person this fall :)
July. Professor Jonathan A. Parker and co-authors' paper A Dynamic Theory of Lending Standards appeared in the NBER WP series. Read the ungated version of the paper and the data appendix that surveys the credit bureaus in the world.
Apr 22. I helped write a blog post on how credit card companies target less-educated consumers with more complicated offers.
Apr 2. I wrote a blog post on the economic effect of the public health response during the 1918 Flu.