- Date of Brith - 9.10.1990 (28 years old)
- Nationality - Russian Federation
- Place of residence - Moscow
- Personal Email - avnotchenko at gmail dot com
- Academic Email - a.notchenko at skoltech dot ru
- My Twitter
- My Github account
- Scholar profile
I'm a 3rd year PhD student at research center for Computational and Data-Intensive Science and Engineering at Skoltech, my main research topic is "Computer Vision as Inverse Graphics". Solving such kinds of problems requires studying 3D Deep Learning, Unsupervised Learning, Bayesian methods and Computer Graphics. I'm also a Co-Founder of Open Data Science community - Biggest Data professionals community in Russia (probably whole eastern Europe) with 15k members all over the world.
News and Talks
- (27-31.08.2018) Participated at Summer School on Statistical Relational Artificial Intelligence held at Ferrara Italy. (Also won a travel grant for it.)
- (06-08.2018) Supervised summer exchange student from MIT "Damarcus Patterson", who was working with us on Spatial data structures and 3D visualisation.
- (18.11.2017) Gave a talk at DataStart 2017 conference titled Deep Generative (Probabilistic) Models (in Russian) [video].
- (26-30.08.2017) Assisted in tutorial sessions at DeepBayes 2017 summer school.
- (07.05.2017) Presenting a talk "Analyzing 3D objects with power of Deep Learning and Cython" at PyData London 2017. [slides] [video]
- (28.04.2017) ML consultant and Review board member at SpaceHack Moscow.
- (25.04.2017) Presenting a poster at Skoltech and MIT joint conference "Shaping the Future", (poster was selected to top 30 posters)
- (22.04.2017) Presented at SpaceUp unconference "The expanse and why it's awesome", at Skoltech
- (11.02.2017) MC'ing OpenMic section at 4-th DataFest conference, interviewing Data Science professionals. [video]
- (09.12.2016) Presented a talk "Sparse 3D Convolutional Neural Networks for Large-Scale Shape Retrieval." at “3D Deep Learning” workshop NIPS’16
- (09.07.2016) Presented mini-project "BlueBox" at First Moscow MakerFaire
- (31.03.2016) Deep Learning for 3D Shapes Analysis at TruePositive Conference, [video]