Igor Silin is a quantitative researcher at Two Sigma since October 2022, previously holding the position of quantitative research intern at the same company during the summer of 2021. Igor's experience includes a role as a junior researcher at the National Research University — Higher School of Economics in 2018, focusing on stochastic algorithms and high-dimensional inference, as well as an intern researcher at the Institute for Problems of Information Transmission, where work centered on predictive modeling. Igor holds a Doctor of Philosophy in Statistics from Princeton University (2022) and two Master of Science degrees in Data Science and Applied Mathematics from Skolkovo Institute of Science and Technology and Moscow Institute of Physics and Technology (MIPT), respectively. The educational background also includes a Bachelor of Science in Applied Mathematics and Physics from MIPT.
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