Daniil Polykovskiy

Daniil Polykovskiy Email and Phone Number

Member of Technical Staff @ MakerMaker.AI
Montreal, QC, CA
Daniil Polykovskiy's Location
Montreal, Quebec, Canada, Canada
Daniil Polykovskiy's Contact Details

Daniil Polykovskiy work email

Daniil Polykovskiy personal email

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About Daniil Polykovskiy

I am a Sr. Director of Technology at Insilico Medicine, a company that leverages artificial intelligence and machine learning to accelerate drug discovery and development. I have a Ph.D. in Computer Science, and my core competencies include technical leadership, product management, solution architecture, and software engineering.In my current role, I lead the creation and execution of a strategic vision for the Software R&D department, resulting in streamlined processes and sustainable development initiatives. I manage cross-functional Agile teams, including UX/UI, Analysis, QA, and DevOps, fostering a collaborative environment and a culture of innovation. I implement rigorous security and compliance processes and integrate AI research results into our product, significantly enhancing the company's technological capabilities. Previously, I was a Team Lead and a Senior Research Scientist at Insilico Medicine, where I coordinated the Chemistry42 Deep Learning group and created many AI models for automated drug discovery. I published multiple papers at top venues, including Nature Biotechnology and NeurIPS. I am passionate about applying cutting-edge AI and machine learning techniques to solve real-world problems for the benefit of humanity. I value teamwork, creativity, and continuous learning, and I bring diverse perspectives and experiences to the team.

Daniil Polykovskiy's Current Company Details
MakerMaker.AI

Makermaker.Ai

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Member of Technical Staff
Montreal, QC, CA
Website:
makermaker.ai
Employees:
6
Daniil Polykovskiy Work Experience Details
  • Makermaker.Ai
    Member Of Technical Staff
    Makermaker.Ai
    Montreal, Qc, Ca
  • Insilico Medicine
    Sr. Director Of Technology
    Insilico Medicine Oct 2023 - Present
    Montreal, Quebec, Canada
    Organized focused teams for product and exploratory R&D to balance existing and potential new value streams. Enhanced product capabilities by integrating cutting-edge machine learning techniques, including large language models, to assist users and automate processes. Coordinated partnership projects and internal innovation.
  • Insilico Medicine
    It Director
    Insilico Medicine Dec 2020 - Oct 2023
    Montreal, Quebec, Canada
    Integrated AI and software R&D, organizing streamlined processes from foundational AI research to commercial products. Managed cross-functional teams, including product discovery and delivery. Conducted customer research and delivered new capabilities, increasing the accuracy and efficiency of the product's AI, improving user experience, and bringing new customer segments to the platforms.
  • Insilico Medicine
    Team Lead / Senior Research Scientist
    Insilico Medicine Jan 2018 - Dec 2020
    Managed Insilico's deep learning team. Established high-quality research and engineering standards. Developed an internal framework for machine learning and built a pipeline for using AI models in practical applications. Integrated the pipeline into Chemistry42 product, a generative AI platform for creating small molecules.
  • Insilico Medicine, Inc
    Research Scientist
    Insilico Medicine, Inc May 2017 - Jan 2018
    Created generative models for small molecule discovery, including VAE, AAE and GANs in distribution learning, conditional generation, and optimization setups. Created new models to incorporate additional drug discovery requirements into generated molecules. Presented results at top venues including NeurIPS conference and Nature Biotechnology.
  • Mail.Ru Group
    Lecturer
    Mail.Ru Group Sep 2016 - Jun 2019
    Lecturer of "Neural Networks for Machine Learning" course in an educational program from Mail.ru in Moscow State University and Moscow Institute of Physics and Technology
  • Higher School Of Economics
    Coursera Instructor
    Higher School Of Economics 2017 - 2019
    Co-author of Bayesian Methods for Machine Learning course on Coursera with 60K+ students. The course is included in Advanced Machine Learning specialization. The specialization was awarded the Outstanding Educator Award for innovative contribution to online learning in 2019.

Daniil Polykovskiy Skills

Deep Learning Машинное Обучение Научно Исследовательская Деятельность Python Компьютерная Наука Pytorch Latex

Daniil Polykovskiy Education Details

Frequently Asked Questions about Daniil Polykovskiy

What company does Daniil Polykovskiy work for?

Daniil Polykovskiy works for Makermaker.ai

What is Daniil Polykovskiy's role at the current company?

Daniil Polykovskiy's current role is Member of Technical Staff.

What is Daniil Polykovskiy's email address?

Daniil Polykovskiy's email address is da****@****aker.ai

What schools did Daniil Polykovskiy attend?

Daniil Polykovskiy attended Higher School Of Economics, Lomonosov Moscow State University (Msu), Lomonosov Moscow State University (Msu).

What skills is Daniil Polykovskiy known for?

Daniil Polykovskiy has skills like Deep Learning, Машинное Обучение, Научно Исследовательская Деятельность, Python, Компьютерная Наука, Pytorch, Latex.

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