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Jevgenij Gamper

Glad to see you on my page!

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I am a student at Mathematics of Systems program at Warwick University. The program fits very well with my interests and aspirations in automation, computing, bayesian statistics and applied aspects of mathematics with the emphasis on the benefits this blend could bring to the society.

I have completed my undergraduate double degree in Economics and Finance, Mathematics in United States in North Carolina. I find it quite inspiring, that I studied in the state of North Carolina, where in 1951 H. Robbins and S. Monroe came up with the stochasic optimization method, which is a fundamental part behind all the progress in machine learning and AI.

As an example of some of the projects I am affiliated with - together with two outstanding students in my cohort, we are going to work on models for tracking biological dynamics in 3D images obtained from the next generation of microscopes. As part of computational methods curriculum, I have developed a non-markovian Latend Dirichlet Allocation model. In addition, I am developing a python package for computation using evolving neural networks through agumenting topologies developed by Kenneth O. Stanley. As time permits, I attend deep learning reading group, and machine learning reading group meetings led by PhD students in our department, as well as, kaggle study group.

Although, I am not the sharpest knife in mathematics, I genuinly admire those who navigate through and manipulate mathese language really well - I have my ears wide open to learn and that is why I am here! Currently, I am in the process of putting together my blog on learning and personal experiments in maths, computing, some hardware work and automation, all of that you can find by clicking here! It has very fancy name - brute force imagination! The goals are to record and share my learning experiences and most importantly to get to know similar minded people!

Thanks for visiting my page!

Recent Activities while at Math Sys:

  • Pistoia Alliance Hackathon (25 - 26 Mar 2017) - First place in Microsoft Deep Learning challenge on pathologic gene mutation prediction.

Receiving award at Pistoia Alliance Hackathon.

  • HackPrague (17-18 June 2017) - Third place with team VENE. Worked on neural dialogue generation for VENE dating app. More about the project on Devpost. Team picture link.
  • Introduction to Machine Learning Summer School at Warwick University Mathematics Institute (21-23 June 2017) - helped organising the event, prepared some of the tutorials (Autoencoders and Variational Autoencoders tutorials).
  • Gaussian Processes and Uncertainty Quantification Summer School (11-15 September 2017) - with the support of Mathematics of Systems department will participate in GP summer School in Sheffield.

P. S. Some achievements in the past: 16 years of swimming at National and International level - multiple national champion, european championships semi-finalist; full academic and athletic scholar in North Carolina; led a swimming team to a highest academic standing in United States beating Harward, Stanford and Yale; Paul Fisher Service Award for developing an algorithm for and founding a student managed investment fund and raising 47$ thousand. Won a prize to attend Quant Summit in NYC to meet Marcos LopezDePrado, based on his work I did a thesis in maths during my final year in undergraduate studies.