Since July 2023
Instructor since July 2023
Tutor in mathematics and statistics.
From 218.28 C$ /h
Greetings! I'm Alexander, a Cambridge alumnus with deep-seated expertise in various topics, from mathematical logic and numerical methods to stochastic calculus and finance.
With over a decade in the educational field, I've had the privilege of teaching students from distinguished universities such as MIT, UCL, Stanford, Oxford, and UCLA, amongst others.
My teaching methodology is rooted in engagement and interactivity. The lessons I design are not only informative but also highly engaging, ensuring that students are not just passive listeners but active participants. I utilize the Miro board, a versatile collaborative platform that allows for real-time interaction and feedback. My approach is problem-based, which means I present problems adjusted to a student's level of expertise, challenging them to think critically and apply their knowledge. What sets my method apart is the real-time correction of student mistakes, which ensures instant feedback and accelerated learning.
To maximize the interactivity and effectiveness of our sessions, students are expected to have a device similar to an iPad and a stylus like the Apple Pencil (though not necessarily Apple-branded). This setup allows students to engage with the material fully and benefit from the interactive elements of the lessons.
My certification and continuous professional development ensure that I stay abreast of the latest pedagogical techniques, ensuring my students receive a world-class education.
Some of my students have further achieved admission into the prestigious Oxbridge universities.
My professional journey includes an enriching experience as a Marie-Curie researcher in Sweden, underpinning my practical knowledge. Moreover, I hold a certification from Cambridge University and have regularly participated in Oxford's Summer Machine Learning schools.
I eagerly anticipate the opportunity to share my knowledge and experience with you.
With over a decade in the educational field, I've had the privilege of teaching students from distinguished universities such as MIT, UCL, Stanford, Oxford, and UCLA, amongst others.
My teaching methodology is rooted in engagement and interactivity. The lessons I design are not only informative but also highly engaging, ensuring that students are not just passive listeners but active participants. I utilize the Miro board, a versatile collaborative platform that allows for real-time interaction and feedback. My approach is problem-based, which means I present problems adjusted to a student's level of expertise, challenging them to think critically and apply their knowledge. What sets my method apart is the real-time correction of student mistakes, which ensures instant feedback and accelerated learning.
To maximize the interactivity and effectiveness of our sessions, students are expected to have a device similar to an iPad and a stylus like the Apple Pencil (though not necessarily Apple-branded). This setup allows students to engage with the material fully and benefit from the interactive elements of the lessons.
My certification and continuous professional development ensure that I stay abreast of the latest pedagogical techniques, ensuring my students receive a world-class education.
Some of my students have further achieved admission into the prestigious Oxbridge universities.
My professional journey includes an enriching experience as a Marie-Curie researcher in Sweden, underpinning my practical knowledge. Moreover, I hold a certification from Cambridge University and have regularly participated in Oxford's Summer Machine Learning schools.
I eagerly anticipate the opportunity to share my knowledge and experience with you.
Location
Online from United Kingdom
About Me
My name is Alexander, and I am glad to present you my short biography and academic qualifications:
I have a degree of master in mathematics from Moscow State University (Moscow State University), which gave me strong fundamental knowledge in the field of mathematics. After that, I was a researcher in the project of Marie Curie in Sweden, where I was engaged in research in the field of information search. This allowed me to develop data analysis skills, the application of statistical methods and immersion in urgent problems of information technology.
Then I trained at the Part III program on mathematical statistics at the University of Cambridge, where I expanded my knowledge and skills in the field of statistics. During my studies, I also received a certificate from Judge Business School in entrepreneurship, which emphasizes my ability to apply mathematical and statistical knowledge in practical situations.
My teaching experience includes work with various age groups and levels of students. I conducted individual classes and led group classes, where I tried to adapt my approach to the educational needs of each student. My teaching style is based on understanding the unique needs of each student, building a trusting relationship and creating a stimulating and supporting educational environment. I strive to apply various methods, including active educational methods, examples from real life and practical tasks, to help students better learn the material and develop their skills.
With over a decade in the educational field, I've had the privilege of teaching students from distinguished universities such as MIT, UCL, Stanford, Oxford, and UCLA, amongst others.
My teaching methodology is rooted in engagement and interactivity. The lessons I design are not only informative but also highly engaging, ensuring that students are not just passive listeners but active participants. I utilize the Miro board, a versatile collaborative platform that allows for real-time interaction and feedback. My approach is problem-based, which means I present problems adjusted to a student's level of expertise, challenging them to think critically and apply their knowledge. What sets my method apart is the real-time correction of student mistakes, which ensures instant feedback and accelerated learning.
To maximize the interactivity and effectiveness of our sessions, students are expected to have a device similar to an iPad and a stylus like the Apple Pencil (though not necessarily Apple-branded). This setup allows students to engage with the material fully and benefit from the interactive elements of the lessons.
My certification and continuous professional development ensure that I stay abreast of the latest pedagogical techniques, ensuring my students receive a world-class education.
I have a degree of master in mathematics from Moscow State University (Moscow State University), which gave me strong fundamental knowledge in the field of mathematics. After that, I was a researcher in the project of Marie Curie in Sweden, where I was engaged in research in the field of information search. This allowed me to develop data analysis skills, the application of statistical methods and immersion in urgent problems of information technology.
Then I trained at the Part III program on mathematical statistics at the University of Cambridge, where I expanded my knowledge and skills in the field of statistics. During my studies, I also received a certificate from Judge Business School in entrepreneurship, which emphasizes my ability to apply mathematical and statistical knowledge in practical situations.
My teaching experience includes work with various age groups and levels of students. I conducted individual classes and led group classes, where I tried to adapt my approach to the educational needs of each student. My teaching style is based on understanding the unique needs of each student, building a trusting relationship and creating a stimulating and supporting educational environment. I strive to apply various methods, including active educational methods, examples from real life and practical tasks, to help students better learn the material and develop their skills.
With over a decade in the educational field, I've had the privilege of teaching students from distinguished universities such as MIT, UCL, Stanford, Oxford, and UCLA, amongst others.
My teaching methodology is rooted in engagement and interactivity. The lessons I design are not only informative but also highly engaging, ensuring that students are not just passive listeners but active participants. I utilize the Miro board, a versatile collaborative platform that allows for real-time interaction and feedback. My approach is problem-based, which means I present problems adjusted to a student's level of expertise, challenging them to think critically and apply their knowledge. What sets my method apart is the real-time correction of student mistakes, which ensures instant feedback and accelerated learning.
To maximize the interactivity and effectiveness of our sessions, students are expected to have a device similar to an iPad and a stylus like the Apple Pencil (though not necessarily Apple-branded). This setup allows students to engage with the material fully and benefit from the interactive elements of the lessons.
My certification and continuous professional development ensure that I stay abreast of the latest pedagogical techniques, ensuring my students receive a world-class education.
Education
University of Cambridge, Cambridge, UK
Part III student,
Mathematical Statistics, from October 2021 to date
Linnaeus university, Vaxjo, Sweden
Marie-Curie ITN early stage researcher, EU-project ’’Quartz”,
Quantum inspired information retrieval, from October 2017 to September 2021
• Topic: Adaptive ranking of information items inspired by the theory of open quantum systems
This project is about the use of quantum probability techniques on development of new frameworks for ranking algorithms.
Lomonosov Moscow State University, Moscow, Russia
Master’s Degree, Faculty of Mechanics and Mathematics
• Thesis Topic: Mathematical models of hybrid systems
• class of 2017
• GPA: 5 out of 5
BA Degree, Faculty of Mechanics and Mathematics
• 2011-2015
• GPA: 5 out of 5
Part III student,
Mathematical Statistics, from October 2021 to date
Linnaeus university, Vaxjo, Sweden
Marie-Curie ITN early stage researcher, EU-project ’’Quartz”,
Quantum inspired information retrieval, from October 2017 to September 2021
• Topic: Adaptive ranking of information items inspired by the theory of open quantum systems
This project is about the use of quantum probability techniques on development of new frameworks for ranking algorithms.
Lomonosov Moscow State University, Moscow, Russia
Master’s Degree, Faculty of Mechanics and Mathematics
• Thesis Topic: Mathematical models of hybrid systems
• class of 2017
• GPA: 5 out of 5
BA Degree, Faculty of Mechanics and Mathematics
• 2011-2015
• GPA: 5 out of 5
Experience / Qualifications
Master of mathematics, mechanics, teacher in a degree in fundamental mathematics and mechanics. Lomonosov Moscow State University, Moscow, Russia (2011-2017)
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Skills
Availability of a typical week
(GMT -05:00)
New York
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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