Business Insights through Text
The BIT LAB

Doctoral Students

Emaad Manzoor

Emaad Manzoor is a PhD student in Information Systems at the Heinz College, CMU. He works on machine learning and causal inference methodology for data with complex structure, such as networks and text. Substantively, he examines causal questions pertaining to persuasion and its linguistic determinants.

Zhaoqi Cheng

Zhaoqi Cheng is a PhD student in Business Technology at Tepper School of Business, CMU. He combines machine learning with econometrics models to explore large-scale data with text-heavy attributes, such as patent files, online forums and user reviews. He is currently working on generative models related to the representation and characterization of innovations.

Samuel Levy

​Sam Levy is a Marketing Ph.D. candidate in the Tepper School of Business, CMU. He uses and combines Bayesian {statistics, machine learning and econometrics} to (1) build predictive models of browsing and buying behavior using unstructured data (2) flexibly model consumer behavior and make policy recommendations for pricing and promotional strategies. 

Chengfeng Mao

Chengfeng Mao is an incoming PhD student in Marketing at the MIT Sloan School of Management. He obtained his master's degree in Computer Science at Carnegie Mellon University. His research interests include applying machine learning to draw business and economic insights from unstructured data, such as text, image, and network graph.

Master's Students

Yan Jessica Gao

​Yan is a graduate student at Heinz College in CMU, major in Information System Management. She is interested in solving real-word financial problems based on the data driven insights and the data science techniques. 

Yuxin Yao

Master in Information System Management – BIDA. Recently researching in predicting patent value with deep learning methods.

Harshal Shah

​Harshal is a graduate student at CMU pursuing Masters in Information Security. His research career started with Graph Theory and Cryptography. He interned at ISRO (Indian Version of NASA) where he worked on a keyless encryption system. He now works on Deep Learning NLP. He is a big fan of Marvel & DC movies/comics.

Yuan Zou

​Yuan is a graduate student in School of Heinz - Public Policy and Data Analytics. Her research interest in NLP grew during final year where she constructed a simple neural network for stock price prediction. She holds a bachelor's degree from Nanyang Technological University in Infocomm and have worked in financial industry for 3 years. She loves playing mahjong, reading about politics, and backpacking to many corners of the world.

Eric Zhou

Eric is a second year MBA student studying Business Technologies and Operations Research at Tepper. He holds a Bachelor’s degree in Finance and Marketing from Washington University In St. Louis and worked for one year at Nielsen BASES as a research analyst specializing in product innovation. Eric plans to pursue a PhD in Quantitative Marketing.
In his free time, he enjoys exercising and dancing and plans on choreographing his own piece some day!

Kaiqi Zhong

Kaiqi is a graduate student at Heinz College majoring in Information System Management - BIDA. He is always curious about how causal inference and machine learning can be applied and interpreted in the business scenarios. He is a big fan of football, video games and rock music.