Artem Pulkin
[ΙrΛtsΚ²Ι΅m]
π§ [email protected]
π pulk.in
π Amsterdam NL π³π±
Expertise
Numerical and data science, machine learning, research code development
Education π
2012-2017
Docteur Γ¨s Sciences EPFL in physics Lausanne CH π¨π
Specialized on: numerical electronic structure, quantum simulations.
Thesis: Electronic Transport in 2D Materials with Strong Spin-orbit Coupling (03/2017);
supervisor: Oleg Yazyev
2010-2012
Master of Science Chalmers in applied physics GΓΆteborg SE πΈπͺ
Thesis: Spintromechanical Aspects of Charge Transport in Nanostructures (06/2012);
supervisor: Robert Shekhter
2006-2010
B.Sc. in Physics cum laude V.N. Karazinβs State University Kharkiv UA πΊπ¦
Training
Coursera: Machine Learning from Stanford University
Experience π¬
Apr'19-Apr'22
Postdoc @ QuTech Delft university of technology NL π³π±
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.
Jul'17-Mar'19
Postdoc @ Caltech US πΊπΈ
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.
Oct'12-Apr'17
Doctoral assistant @ EPFL CH π¨π
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.
Jun'12-Aug'12
Research assistant @ Seoul National University, KR π°π·
Aug'10-Jun'12
Research assistant @ Chalmers, SE πΈπͺ
Achievements
15 publications >500 citations 14 talks
>10 countries visited (work, conferences, collaborations)
>30 collaborators
Awards π
postgraduate
π° Personal Swiss NSF grant to study abroad
80k CHF, 18 months, postdoctoral level (Early Postdoc.Mobility) grant P2ELP2_175281
π° Personal computing time at national supercomputing facilities (SURF NL) Approximate equivalent of 26k EUR, 24 months project 45873
graduate
π₯ Olympiad in Physics for University Students (national in Ukraine) β first prize
π Youth Physicists Tournament (national in Ukraine, team) β multiple prizes
π₯ Open Olympiad in Applied Physics (MIPT Moscow) β first prize
π° Kharkiv City Mayor and Kharkiv State Governor scholarships for gifted youth
high school
π₯ Dozens of prizes in physics and informatics (olympiads, student projects; top-10 and top-1 in national competitions)
π° Multiple scholarships
Skills π¨
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 π 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.
Other: C, β Java, Fortran, Julia, Javascript, Matlab, C++.
Soft skills: critical analysis, problem solving, communicating (organizing discussions, presenting, documentation writing), full-cycle project management (idea - resources - implementation - reporting), supervision.
Languages
English (prof), Ukrainian (mother), Russian, French (basic), Dutch (basic).
Hobbies
Sports, β travels, cross-stitching, soldering, π lock picking, πΉοΈ board and video games, open-source projects.