Mikhail Langovoy’s Biography

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I am an accomplished Statistics and Machine Learning Researcher and a Data Scientist with 15+ years of research and applied work at top Universities, renowned private Research Corporations, and successful Startups.

I was a machine learning researcher at leading research labs both in Industry as well as in Academia, worked as a statistician with world’s top statisticians, and was a mathematician at top math departments. These institutions produced Nobel Prize winners in Economics and Physics, Fields Medalists in Mathematics, and Turing Prize winners in Computer Science.

I directly managed my research group on Machine Learning at a Max Planck Institute, and a Business Intelligence R&D department in one of the most successful European Startups.

In the areas of Machine Learning, Statistics, Applied Mathematics and Data Analysis, I managed, advised, supervised and consulted researchers, engineers, and software developers, from 12 departments of 10 National Research Institutes, research Universities, and commercial companies, in 6 countries.

For teams of data scientists or researchers, I find work directions with the highest impact, train colleagues so that they up their knowledge to the state-of-the-art in the field, organize productive collaborations and, as a result, elevate the team’s work to the next level of efficiency.

I am an expert in communicating ideas from machine learning, statistics and mathematics, as well as in presenting the data analysis results to technical and non-technical audiences, and delivered more than 50 invited talks at conferences, academic institutions and commercial companies from 13 countries.

I lectured on Machine Learning, Statistics, and Applied Mathematics at top Universities in 3 countries, to national team level students, and 2 of my former students already became Professors.

On top of that, I published over 20 full-length articles in top-ranked international journals and conferences in statistics, mathematics and machine learning, including single-author publications.

As a hands-on researcher, I enjoy inventing, developing and applying novel statistical and machine learning methods that are optimal for specific application areas. My algorithms are always validated and supported by theory. I developed a number of novel data analysis approaches throughout my career, and won multiple Awards, Fellowships and research Grants.

You can learn more about my professional experience and my research, have a look at my LinkedIn network, or check out the media page for presentation slides, publishable project materials, photos and videos of my lectures and talks.

My blog is hosted on this website as well, while this page contains links to my profiles on various social networks and content sharing websites.

Feel free to contact me with any questions or suggestions!