凡丁目前的主要工作方向是推荐系统（广告/内容）及自然语言处理的算法优化及业务应用。2018年， 魏凡丁加入微软广告算法团队， 所属团队负责全球广告（英文）推荐算法优化（CTR预估，排序及部分Selection工作）。在探索新技术方面， 魏凡丁也在积极探索强化学习，生成学习在广告算法上的应用。在加入微软之前 魏凡丁曾就职于百度凤巢广告算法， 微策略大数据团队， 在大数据和机器学习领域有近4年的工程经验。
同时， 凡丁热爱研究互联网产品。在从浙江大学获得工业设计学位后， 还全程参与设计并开发了“邻仓”等产品。
业余生活中， 凡丁热爱旅游， 曾前往欧亚美州多地背包旅行。他还喜欢游泳和网球。
Better Technology, make people's life better.
WEI Fanding was graduated from Zhejiang University in 2014, major in Automation, double major in Industrial design with an elite program as SDI(Studio of Design and Innovation) from International Design Institute of Zhejiang University.
As a programmer, he focuses on deep learning especilly its application on recommendation system(Ad/Feed) and NLP, and is strongly interested in research about algorithms and relevant problems. He joined Microsoft at 2018, his team focus on optimizing ad recommendation(English Global ads)(CTR prediction, ranking and more). He's also interested in applying cutting-edge technologty(Reinforcement learning, Generative learning) on ads recommendation. Before Microsoft, Fanding also worked at Baidu(Ad recommendation team) and MicroStrategy(Big Data Team).He has experience in Machine Learning and Data Mining Area for more than 4 years.
Fanding is also continuously learning at the area of product design after got this double major degree on industrial design. He deigned and developed the product "LingCang" during his spare time.
Finally, Fanding like to travel, has been to many countries in Europe, Asia and America. He also likes swimming and tennis.