My name is Alibek Sailanbayev. This is my personal website where you can find more information about me.
I was admitted to KAUST to Prof. Peter Richtarik's group and started to work on Optimization in Machine learning. These were my first steps in Machine learning. I wrote and co-authored several papers with very smart and brilliant people from the group. I also finished my graduate level coursework - Machine Learning, Big Data optimization, Algorithms, Numerical Linear Algebra etc.
During the studies I attended few conferences and workshops: Applied Machine Learning Days 2018 (EPFL, Switzerland), Data Science Summer School 2018 (Ecole Polytechnique, France), IWR School: "Advances in Mathematical Optimization” 2018 (Heidelberg University, Germany), ICML 2019 (Long Beach, USA), Yandex Research Summit 2019 (Yandex HQ, Russia).Awards from mathematical olympiads allowed me to get accepted to one of the best universities of Kazakhstan without entry exams. Here I learned a lot in math and computer science. I took courses of Calculus, Real Analysis, Matrix Analysis, Probability and Statistics, Programming in C/C++, Web Programming, Data Structures, Image Processing (and many other very beneficial courses). I also started my first steps in research - summer internships at IST Austria, INRIA/LORIA. During bachelors I published two papers.
In this best school of Almaty (the biggest city in Kazakhstan) my journey of mathematician began. During the period I participated in different international and regional mathematical competitions (IMO, IZHO, BMO, Tuymaada, national and regional competitions).