Oleksandr Savytskyi, Phd Email & Phone Number

United States

Pauling.AI is a next-generation molecular simulation platform for drug discovery. https://www.pauling.ai/

Florida, United States

• Developed computational infrastructure for the drug-discovery process in Lab (software and hardware configurations)• Developed state-of-the-art protocols for pre-clinical research in cancer and neurological diseases (collaborations with wet labs). The Lab's financial support was increased• Developed various scripts for calculations automation (NN/ML, massive jobs submission, results analyses and chemical compounds sorting, MD trajectory visualization) in collaboration with programmers in Lab and software developers• Supervising junior scientists (assisted in promotions to new position within the Lab)• QA role: Identified and reported more than 20 bugs in drug discovery software, which were subsequently fixed by developers• Participated in top-ranked scientific meetings, including the Annual Biophysical Society Meeting (BPS2023) in San Diego, USA, and the Pacific Symposium on Biocomputing (PSB2023) in Hawaii, USA• Paper in Q1, IF=17

Kyiv, Ukraine

• Supervised the research activities in Computational and Structural Biology • Managed internal projects and controlled the group’s budget• Prepared and submitted manuscripts and grant projects• Established connections with companies and academic institutions• Participated in scientific and commercial meetings, conferences, exhibitionsAwarded:• Fellowship of President of Ukraine (2018-2019), Kyiv City Mayor Prize (2018), • Shevchenko Scientific Society, Inc Award (New York, USA, 2018)• State Prize of President of Ukraine for young scientists in 2018

Kyiv, Ukraine

• Developed computational methods to research human tyrosyl-tRNA synthetase in structural complex with tRNA(Tyr) and elongation factor (eEF1A2)• Awarded by four-year Fellowship as one of the best PhD students at the National Academy of Sciences of Ukraine (2012-2014, 2016-2018)

Kyiv, Ukraine

• Developed computational methods to research human tyrosyl-tRNA synthetase and its mutant forms, associated with Charcot-Marie-Tooth neuropathy.

Kyiv, Ukraine

• Created workspace and HPC infrastructure (~5000 CPU's and 10 GPUs) for computational structural biology and drug discovery research at the National Academy of Sciences of Ukraine • Collaboration with programmers and system administrators in HPC (handled technical tasks for developers, programmed modules based on templates in Bash, PHP, and Python, and performed Quality Assurance [QA]) • One of the key founders and developers of MolDynGrid virtual laboratory (https://moldyngrid.org) as a part of Ukrainian National Grid (UNG), NorduGrid (https://www.nordugrid.org) and European Grid Infrastructure (EGI) which provides web services for the Molecular Dynamics simulations and trajectory analysis • Successfully supported more than 50 researchers and their projects in computational structural biology from various European countries through my management

Valencia Area, Spain

• Project Title: The Role of Connective Peptide 1 in Human Tyrosyl-tRNA Synthetase and itsMutant Forms, Associated with Charcot-Marie-Tooth Neuropathy • Supported by HPC-Europa3 (Horizon 2020) and HPC Grant (200K) from Barcelona Supercomputing Center

Consulting IT developers based on the requirements of the scientific community (MD simulations using GROMACS and NAMD software in GRID and CLOUD environments with GPU calculations). Collaboration with EGI.eu.*Grant №654142, EGI-Engage, Horizon 2020 EUEGI Federated Cloud (JRA2.4) Accelerated Computing*. IaaS-type cloud, made of academic private clouds and virtualized resources and built around open standards. Its development is driven by requirements of the scientific community.Start Date: 2015End Date: 2018Leader: Dr. Viet Tran (Institute of Informatics, Slovak Republic)Websites: https://accelerated.ui.sav.sk and https://www.egi.eu/federation/egi-federated-cloud/EGI-Engage:WP4 (JRA2.4) Accelerated Computing*. Technologies for using GPUs in grid and cloud. Analysis of requirements from user communities.Start Date: 2015End Date: 2018Leader: Dr. Marco Verlato (INFN, Italy)Website: https://wiki.egi.eu/wiki/EGI-Engage:WP4VT GPGPU* (the Virtual Team project aims to collect detailed requirements from existing and new EGI user communities and their support teams about using GPGPU services in the European Grid Infrastructure).Start Date: 2012End Date: 2013Leader: Dr. John Walsh (TCD, Ireland)Website: https://wiki.egi.eu/wiki/VT_GPGPU