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Deep Learning, Protein Folding Algorithms, Computer Vision, Math, and AI Research #Noonies2021by@zetyquickly
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Deep Learning, Protein Folding Algorithms, Computer Vision, Math, and AI Research #Noonies2021

by Emil BogomolovNovember 6th, 2021
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Emil Bogomolov is the Research Engineer at the Russian University Skoltech. He works in the field of Computer Vision and teaches students machine learning and data analysis. He believes that the most exciting technology of the present is deep learning because it helps to solve problems in various domains, for example even protein folding. Learn more about his thoughts and opinions on AI and his journey in the tech industry via the interview below.

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Newtonian Fractal on http://usefuljs.net/fractals/.


Hey Hackers! I’m Emil Bogomolov and I’m a Research Engineer at the best Russian University, Skoltech.


First of all, a huge thank you to the HackerNoon community and staff for nominating me for a few 2021 Noonies awards!


I’ve been nominated in the following categories please do check out these award pages and vote:

  1. Hackernoon Contributor of the Year - Computer Vision.
  2. HackerNoon Contributor of the Year - DEVELOPER-TOOLS


As someone in the AI industry, I believe that the most exciting technology of the present is deep learning because it helps to solve problems in various domains, for example even protein folding.


Learn more about my thoughts and opinions on AI and my journey in the tech industry via the interview below.

1. What do you do and why do you do it? (tell us your story)


I do research and development in the field of Computer Vision (CV).


I work a lot with 2D data (images, videos) and 3D data (point clouds, meshes, voxels).


Understanding visual data is my main interest, and by understanding, I mean to teach a machine to see things.

2. Tell us more about the things you create / write / manage / build!

Apart from my main work where I do research (for example this and this) I write articles on the internet regarding technologies applied in CV and teach students machine learning and data analysis.


The research mostly consists of experimenting with different approaches to apply the deep neural networks (written on PyTorch/TensorFlow) to solve some tasks (for example making a segmentation of a human body on the video or classifying to which type of furniture correspond to this particular 3D scan).

3. How did you end up on your current career path? Do you like it?

I graduated with MS in Applied Math and I had had always wanted to use the knowledge I got in the university in my everyday work.


This goal is kind of achieved, I do mathematical modeling sometimes. But mostly my work is experimenting with existing tools.

4. What tech are you most excited or passionate about right now and why?

I am very passionate about AlphaFold and other protein folding algorithms, I believe that it might give a huge boost to treat an extensive number of diseases.


Also, I’m very passionate about Open Insulin this project is not about programming but might also save a lot of lives around the globe.

5. What tech are you most worried about right now and why?


I am really worried about neural chips on our laptops and smartphones.


For now, I don’t see any other purpose of using them but manufacturer to analyze the data we use/store on our devices.

6. If we gave you 10 million dollars to invest in something today, what would you invest in and why?

I’d invest in telemedicine startups that make doctor appointments cheaper for end-user. I’d invest in renewable energy companies, in particular in the research of better solar energy storage.


And I’d donate some of this money to Russian education organizations for children to see a world full of opportunities.

7. What are you currently learning?

I am learning a lot simultaneously: a little bit of C++ to write efficient code, a little bit of Hydra to manage my experiments, I also study design patterns from the Head First book and Kubernetes book…

8. What’s the best advice you’ve ever given someone?

I don’t know how to answer this. It depends on the result that person have regarding my advice :)

9. What’s the best advice you’ve ever received?

Work with those who have something new to teach me.


About HackerNoon’s 2021 Noonie Awards

The annual Noonie Awards celebrate the best and brightest of the tech industry, bringing together all who are making the Internet and the world of tech what it is today. Please be sure to check out our award categories, nominate, and vote for the people and companies who you think are making the biggest impact on the tech industry today.


The 2021 Noonies are sponsored by: bybit, Dottech Domains, and Avast. Thank you so much to these sponsors who are helping us celebrate the accomplishments of all our nominees.