Alexey Svyatkovskiy
Biography
Alexey Svyatkovskiy is a staff research scientist in Princeton Institute for Computational Science and Engineering at Princeton University focusing on Big Data, machine learning and high performance computing.
He works on several projects including disruption forecasting in tokamak fusion plasmas using deep recurrent neural networks, natural language processing applications to modern American politics, and contributing to the development of data analysis package in Scala. In his free time, Alexey organizes workshops on Apache Spark and Python, contributes to local data science meetup group and PrincetonPy community.
Alexey holds a Ph.D. in particle physics with a specialization in computational engineering from Purdue University. His research focused on Standard Model pf particle interactions and charged particle reconstruction with the CMS detector at the CERN LHC.
He works on several projects including disruption forecasting in tokamak fusion plasmas using deep recurrent neural networks, natural language processing applications to modern American politics, and contributing to the development of data analysis package in Scala. In his free time, Alexey organizes workshops on Apache Spark and Python, contributes to local data science meetup group and PrincetonPy community.
Alexey holds a Ph.D. in particle physics with a specialization in computational engineering from Purdue University. His research focused on Standard Model pf particle interactions and charged particle reconstruction with the CMS detector at the CERN LHC.
Presentations
Workshop
Deep Learning
Machine Learning
SIGHPC Workshop
