Alexandr Andoni博士是在哥大Columbia University数据科学研究院Data Science Institute任职的一位副教授。他的研究方向是大数据算法基础（algorithmic foundations of massive data）。更为细致的研究方向包括：子线性算法sublinear algorithms (streaming and property testing), 高纬计算几何学high-dimensional computational geometry, 度量嵌入metric embeddings, 机器学习and machine learning.
 
该教授比较年轻，正是职业上升期，常年招聘博士生（I am always looking to hire great PhD students.）有对机器学习、大数据、算法等方向感兴趣的同学，可以考虑很轻哥大的博士项目，并提前套磁这位教授哦。
 
教授大致履历：“I graduated from MIT in 2009, under the supervision of Prof. Piotr Indyk. My PhD thesis is on the "Nearest Neighbor Search: the Old, the New, and the Impossible". In 2009--2010, I was a postdoc at the Center for Computational Intractability at Princeton, and a visitor at NYU and IAS. I was a researcher at Microsoft Research Silicon Valley lab, from 2010 until its closure in 2014. Afterwards, I was a visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley.”