Summary
Alexey Salnikov is a senior scientific researcher and educator in Moscow with 14 years of professional experience focused on high-performance computing, parallel programming, and cluster interconnect benchmarking. He researches MPI-based cluster behavior, visualizes large-scale testing results, and develops parallel algorithms and web tools for nucleotide and amino-acid sequence comparison. His background blends academic rigor (PhD in Computer Science from MSU) with practical industry work at Huawei on shared-memory optimization and massive graph connectivity problems. He teaches parallel programming and POSIX OS programming, bringing hands-on cluster experimentation into the classroom. Notably, his work spans both low-level benchmarking of interconnects and application-level bioinformatics algorithms, connecting systems performance insights to real scientific workloads.
14 years of coding experience
1 year of employment as a software developer
PHD, Computer Science, PHD, Computer Science at Московский Государственный Университет им. М.В. Ломоносова (МГУ) / Lomonosov Moscow State University (MSU)
English, Russian