Congratulations, Varchasvi!

The Statistics Club and the MA Team would like to congratulate Varchasvi Vedula,  winner of the 2022 DataFest

“It was amazing to finally participate in a DataFest! I loved being one of the first people analyzing this real data set to create new features and metrics, study for trends, and share my findings and suggestions with the data providers. It’s a cherry on top and a huge honor to be appreciated for my work. Thank you!”    ~ Varchasvi Vedula


Daiki Tagami, who will graduate in May 2022 from the MA Program in Statistics, has won the 2022 Columbia College Leadership & Excellence Award for Innovation & Enhancement.  Daiki’s selection as an honoree is a testament to the outstanding impact he’s had on his peers, the campus, and other communities he has served. On behalf of the Department of Statistics, join us, as we congratulate Daiki. 

The DataFest Fall 2019 findings were presented on the topic of religiosity by six teams. Each team developed robust models and analyzed the dataset. The DataFest was judged by professors from the Statistics Department: Professors Liu, Vatter and Lee.

First Place was awarded to 4 Students, one of which is an MA Stastistics student, Ali Turfah. Other students included: Chao Tang, Aastha Joshi, Mengni Zhu


Yuki Kitayama, Keane Nguyen-Ba and Xinyue Li, MA students, received a departmental Travel Award to attend the JSM Conference in Denver this summer. Here is what they had to say about the conference…

Yuki Kitayama

“JSM was a great experience from an academic and career perspective. I was able to take a one day course on Bayesian Time Series Analysis and Forecasting. I attended interesting presentations on topics including NLP and real estate value forecasting. In terms of career advancement, I talked to many employers and shared my resume. I actually had three FT interviews onsite with banking and asset management companies. I was also able to expand my network through mixer events with other MA and PhD students at Columbia, as well as other universities.” 


Keane Nguyen-Ba 

“It was an honor to receive the MA Statistics program’s support to attend JSM 2019. From start to end, the event was a rewarding experience as I had the opportunities to learn from the some of the brightest minds in both academia and industry. As the theme of JSM was about making an impact, I got to see how immensely applicable machine learning, and statistics in general, has been to a wide range of fields, from healthcare to sport to the game industry. One of my favorite sessions was where top-notched researchers from Harvard, Stanford and Google Brain discussed a widely popular Applied Causality paper by our very own professor David Blei and one of his PhD Students. There was also a series of enlightening lectures by Stanford professor Trevor Hastie, whose statistical learning books have become every Statistics students’ Bible! I came back inspired and motivated, I am already looking forward to returning next year, and hopefully with a chance to present my own poster.”  

Xinyue Li

“The six days experience at JSM was beyond my expectation. Over a hundred of programs and sessions were delivered every day covering very detailed knowledge and topics of statistics. I was very excited to find studies of applying Machine Learning in marketing, game industry and music classification. I also attended presentations of recent advances in statistical methods and deep learning algorithms. This has definitely broadened my knowledge in carrying out statistical analysis and knowing more about advanced methods that I’ve never heard before. It was also a great opportunity for networking. Finally, IBM built an app for JSM so that I could obtain contact information of all attendees and speakers. I’d love to connect with some of them in the future.”

Alice Mi, Weibo Zhang, and Nicholas Shengjun Wang were three graduates of the MA Statistics program that participated in a stat-a-thon model building competition. They presented their work at the New England Statistical Symposium on a customer retention model from property insurance policy data from an insurance company and came in 2nd place. Alice stated, “Columbia University is a great community to meet collaborative intellectual minds.”