🏠 Amsterdam NL 🇳🇱
Numerical and data science, machine learning, research code development
Docteur ès Sciences EPFL in physics Lausanne CH 🇨🇭
Specialized on: numerical electronic structure, quantum simulations.
Thesis: Electronic Transport in 2D Materials with Strong Spin-orbit Coupling (03/2017);
supervisor: Oleg Yazyev
Master of Science Chalmers in applied physics Göteborg SE 🇸🇪
Thesis: Spintromechanical Aspects of Charge Transport in Nanostructures (06/2012);
supervisor: Robert Shekhter
B.Sc. in Physics cum laude V.N. Karazin’s State University Kharkiv UA 🇺🇦
Coursera: Machine Learning from Stanford University
Postdoc @ QuTech Delft university of technology NL 🇳🇱
I researched a stack of machine learning tools: deep neural networks DNN, generative models (reverse Monte-Carlo, RMC), adversarial attack approaches in the context of electronic structure/nanoscale atomic dynamics. I developed a DNN/atomic descriptor code for nanoscale dynamics miniff. I used python to investigate large material datasets to find novel electronic structure effects.
Postdoc @ Caltech US 🇺🇸
I developed and implemented a computational many-body quantum chemistry framework to model two-dimensional crystalline materials. I investigated low-energy spectral properties of two-dimensional molybdenum disulphide with numerical modeling using massive computational infrastructure.
Doctoral assistant @ EPFL CH 🇨🇭
I carried out a scientific project in the quantum materials modelling domain. I discovered a new class of electronic band structure effects in two-dimensional semiconductors. I collaborated with world-leading experimental groups to prove my findings experimentally.
Research assistant @ Seoul National University, KR 🇰🇷
Research assistant @ Chalmers, SE 🇸🇪
15 publications >500 citations 14 talks
>10 countries visited (work, conferences, collaborations)
💰 Personal Swiss NSF grant to study abroad
80k CHF, 18 months, postdoctoral level (Early Postdoc.Mobility) grant P2ELP2_175281
💰 Personal computing time at national supercomputing facilities (SURF NL) Approximate equivalent of 26k EUR, 24 months project 45873
🥇 Olympiad in Physics for University Students (national in Ukraine) – first prize
🏅 Youth Physicists Tournament (national in Ukraine, team) – multiple prizes
🥇 Open Olympiad in Applied Physics (MIPT Moscow) – first prize
💰 Kharkiv City Mayor and Kharkiv State Governor scholarships for gifted youth
🥇 Dozens of prizes in physics and informatics (olympiads, student projects; top-10 and top-1 in national competitions)
💰 Multiple scholarships
Data science: statistical analysis, processing, automation, visualization.
Machine learning: supervised learning (DNN, linear fits, logistic fits, SVM); unsupervised learning (PCA/SVD, K-means, anomaly detection); dataset generation, feature extraction, adversarial models.
Software development in 🐍 Python (7 years): scientific stack: numpy, torch, matplotlib, pandas; notebooks; HPC and parallel/distributed/concurrent computing (MPI, OpenMP, multiprocessing, async); performance-driven development with C and cython.
Soft skills: critical analysis, problem solving, communicating (organizing discussions, presenting, documentation writing), full-cycle project management (idea - resources - implementation - reporting), supervision.
English (prof), Ukrainian (mother), Russian, French (basic), Dutch (basic).
Sports, ✈ travels, cross-stitching, soldering, 🔒 lock picking, 🕹️ board and video games, open-source projects.