Alexey Svyatkovskiy is a Big Data scientist at Princeton Institute for Computation Science and Engineering (PICSciE). He works on several projects including large-scale text processing and NLP with Spark ML in application to modern American politics, development of Histogrammar package – a cross-platform suite of data aggregation primitives for making
histograms, calculating descriptive statistics and plotting in Scala, and applications of scalable deep learning methods in plasma physics.
In his time free from research, Alexey organizes workshops on Apache Spark at Princeton University, contributes to local data science meetup group and PrincetonPy community.
Alexey holds a PhD. in particle physics. His thesis research focused on large-scale statistical analysis and charged particle reconstruction with the CMS experiment at the CERN LHC and he has been published in the leading journals in the field.