l-kh-hovhannisyan Goto Github PK

I’m currently doing a Bachelor's degree in Applied Mathematics and Computer Science at Shirak State University.

At age 18, obtaining a university degree was the next step in my career. Because of my interests in computers, I decided that computer science would be a good match. This turned out to be not so true. While deeply intrigued by the subject of computational machines, I was not satisfied with just studying the workings of a machine built by man.

After two years of computer science at the university I'd decided to specialize in probabilistic graphical models, because I want to develop the knowledge and skills necessary to design, implement and apply these models to solve real scientific problems!

Probabilistic graphical models are a powerful framework for representing complex domains using probability distributions, with numerous applications in machine learning, computer vision, natural language processing, computational biology, geology or medical problems. Graphical models bring together graph theory and probability theory, and provide a flexible framework for modeling large collections of random variables with complex interactions.

My research interests are in applied probability and statistic, with focus on applications of deep neural networks in seismology, theoretrical frameworks of deep neural networks, seismic sources, and time-series analysis. Applications include statistical seismology and cell biology.

I'm working full time as a AI/ML Research Engineer at «Mathematical geophysics and Geoinformatics Laboratory» of «Institute of Geophysics and Engineering Seismology after A. Nazarov» of the «National Academy of Science of Republic of Armenia»

Advanced knowledge of 3 programming languages Python(SciPy/Numpy/Matplotlib/ (PyTorch, Scikit-learn, Pandas), C/C++) and related fields (SQL, Network/CISCO, LinuxOC/Bash scripting, HTML5, CSS3, Docker, Git, SVN etc.). Bayesian statistics, applied statistics, optimization, machine learning, deep learning, stochastic processes, algorithms and data structures, concurrent programming, distributed programming - are the things everyday I'm working with and in what I'm improving my skills constantly.

I discovered a love for pure mathematics during my bachelor studies in applied mathematics. So now I self-study pure mathematics as a hobby!

My interests include:

• Applied statistics
• Computational statistics
• Bayesian networks
• Probabilistic graphical models

I am always on the lookout for new projects to work on and new people to collaborate with. Do check out my repositories and feel free to reach out if you would like to work on any of my existing projects or if you think that I would be a good fit in your project.

• Armenian 🇦🇲
• Russian 🇷🇺
• English 🇬🇧