About the Reviewers

Wei Di is a data scientist. She is passionate about creating smart and scalable analytics and data mining solutions that can impact millions of individuals and empower successful businesses.

Her interests also cover wide areas including artificial intelligence, machine learning, and computer vision. She was previously associated with the eBay Human Language Technology team and eBay Research Labs, with a focus on image understanding for large scale applications and joint learning from both visual and text information. Prior to that, she was with Ancestry.com working on large-scale data mining and machine learning models in the areas of record linkage, search relevance, and ranking. She received her PhD from Purdue University in 2011 with focuses on data mining and image classification.

Vikram Kalabi is a data scientist. He is working on a Cognitive System that can enable smart plant breeding. His work is primarily in predictive analytics and mathematical optimization. He has also worked on large scale data-driven decision making systems with a focus on recommender systems. He is excited about data science that can help improve farmer's life and help reduce food scarcity in the world. He is a certified data scientist from John Hopkins University.