Join Us ❤

Our KLLAB welcomes university students to join us from all levels from undergraduates to Ph.D. We provide unique experiences for all participants in our team with a broad field of interest in data science, including statistical computing, forecasting, distributed computing, and Bayesian analysis. We also offer you

• one-on-one supervision and weekly lab meetings,
• face-to-face discussions with our international collaborators,
• involvement of KLLAB‘s key projects.

Below you can check out some recent papers that our KLLAB members are reading and discussing.

• A Bilinear Reduced Rank Model
• A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating
• Bayesian forecast combination using time-varying features
• A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009
• A hybrid ensemble method with negative correlation learning for regression

Everyone in our KLLAB will enjoy a lot of fun, and members with outstanding contributions will particularly enjoy

• invitations to participate in international conferences,
• recommendations to top-ranked universities all around the globe,
• job and internship opportunities in top data science companies.

We usually expect you to have the following abilities before joining us:

• Computing skills from the command line: Git, R/Python, Markdown/LaTeX.
• Mathematical and Statistical Background: Probability, Calculus, Statistics.
• A minimum of a two-year participation time.

Contact:

• For Ph.D. inquiries, please get in touch with Prof. Yanfei Kang directly.
• For students from Central University of Finance and Economics, please get in touch with Prof. Feng Li.
• For students from Beihang University, don’t hesitate to get in touch with Prof. Yanfei Kang.
• For other inquiries, please get in touch with Prof. Feng Li.