Donatas Zmuidinavicius

Donatas Zmuidinavicius Email and Phone Number

Chief Information Officer, CIO at Delta Bioscience @ Delta Biosciences
Donatas Zmuidinavicius's Location
Vilnius, Vilniaus, Lithuania, Lithuania
Donatas Zmuidinavicius's Contact Details

Donatas Zmuidinavicius work email

Donatas Zmuidinavicius personal email

About Donatas Zmuidinavicius

I’m a multi-disciplinary scientist who is passionate about technology transfer and futurology. My background is machine learning, preclinical drug discovery and strategy consulting. Key competencies:Preclinical drug discovery, especially ADME and Toxicology fields, protein engineering, DNA encoded library technology.Machine learning, particularly application to big and noisy biological data. Project management and strategy consulting, specially in technology transfer and healthcare projects.Key Skills: Python; Microsoft Packages, StatisticsWhen I’m not working, I love hiking with dogs, doing volunteering work.If you have a project or share a passion for science and technology, please get in touch. Donatas.Zmuidinavicius(at)gmail.com.

Donatas Zmuidinavicius's Current Company Details
Delta Biosciences

Delta Biosciences

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Chief Information Officer, CIO at Delta Bioscience
Donatas Zmuidinavicius Work Experience Details
  • Delta Biosciences
    Chief Information Officer, Cio
    Delta Biosciences 2021 - Present
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  • Self-Employed
    Strategy Consulting
    Self-Employed 2017 - Present
    Environmental, Drug discovery projects. Successfully consulting governmental and non-governmental organizations and entities.
  • Zaptobuy Limited.
    Associate For Business Development
    Zaptobuy Limited. Sep 2015 - Feb 2016
    ZapToBuy (ZTB) consists of ground breaking technology developed by our engineers, that creates the missing-link to make smart phones fully interactive with images seen on film, television etc, creating a paradigm shift in the way consumers view visual media and the manner in which they purchase goods.
  • University Of Cambridge
    Industrial Phd Research Project Machine Learning And Structural Chemistry, Unilever.
    University Of Cambridge Oct 2008 - May 2014
    Cambridge, England, Gb
    • PhD in chemoinformatics, drug design and machine learning. Thesis - Computational studies of transmembrane protein structure and function. Project in collaboration with Unilever Corporation on new molecules that modulate melanin production in skin cells (paten.• Presented results to a variety of audiences ranging from non-specialists to experts.• Collaborated closely with scientist internationally and academic/industry research groups.• Close collaboration with a group of researchers towards the development of a novel bioactive compounds using machine learning techniques.• Patents awarded for unique discovered molecules, together with Unilever corporation.
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  • Cambridge University
    Student Supervisor
    Cambridge University 2008 - 2010
    Teaching and supervising Cambridge University college students. Tripos papers.
  • Cambridge University
    Computer Lab Demonstrator
    Cambridge University 2008 - 2010
    Teaching and supervising Cambridge University students. Computational methods, Matlab, excel in the lab.
  • Eip
    Senior Business Consultant
    Eip 2007 - 2008
    • Prepared applications for EU structural funds for scientific/healthcare investment projects.• Engaged with customers and conducted market analysis to strengthen proposals.• Project management including project initiation, planning and design, strategic planning, SWOT analysis, risk management, ROI evaluation.• Projects worth more than 1 Million Euros approved by EU.
  • Acd/Labs
    Project Leader In Adme/Tox And Phys/Chem
    Acd/Labs 2002 - 2006
    Toronto, Ontario, Ca
    • A technical post in a team work on drug design, machine learning, HTS algorithms creation, logical programming, pharmacophore screening, QSAR and ADMET fields.• Designed ADMET algorithms for the major pharmaceutical industry companies.• Proficiency in Clustering •Classification •Regression analysis problems• Supervised learning (Decision trees, Ensembles, k-NN, Linear regression)• Phyton
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Donatas Zmuidinavicius Skills

Entrepreneurship Machine Learning Computational Biology Statistics Research Data Analysis Quantitative Analytics Bioinformatics Biochemistry Teaching Lifesciences Business Strategy Data Modeling Organic Chemistry Molecular Modeling Cheminformatics Programming Chemistry Virtual Screening Drug Design Start Ups Science Life Sciences Computational Chemistry Drug Discovery Data Mining Medicinal Chemistry Python English Docking Molecular Dynamics Microsoft Excel Organic Synthesis Excel Big Data Big Data Analytics Statistical Data Analysis Statistical Modeling Svm Social Influence Continuous Improvement

Donatas Zmuidinavicius Education Details

  • University Of Cambridge
    University Of Cambridge
    Chemoinformatics
  • Vilniaus Universitetas / Vilnius University
    Vilniaus Universitetas / Vilnius University
    Medicinal/Computational Chemistry
  • Vilniaus Universitetas / Vilnius University
    Vilniaus Universitetas / Vilnius University
    Natural Sciences

Frequently Asked Questions about Donatas Zmuidinavicius

What company does Donatas Zmuidinavicius work for?

Donatas Zmuidinavicius works for Delta Biosciences

What is Donatas Zmuidinavicius's role at the current company?

Donatas Zmuidinavicius's current role is Chief Information Officer, CIO at Delta Bioscience.

What is Donatas Zmuidinavicius's email address?

Donatas Zmuidinavicius's email address is do****@****buy.com

What schools did Donatas Zmuidinavicius attend?

Donatas Zmuidinavicius attended University Of Cambridge, Vilniaus Universitetas / Vilnius University, Vilniaus Universitetas / Vilnius University.

What are some of Donatas Zmuidinavicius's interests?

Donatas Zmuidinavicius has interest in Rowing, Traveling, Civil Rights And Social Action, Education, Environment, Science And Technology, Running, Human Rights, Animal Welfare, Medieval Architecture.

What skills is Donatas Zmuidinavicius known for?

Donatas Zmuidinavicius has skills like Entrepreneurship, Machine Learning, Computational Biology, Statistics, Research, Data Analysis, Quantitative Analytics, Bioinformatics, Biochemistry, Teaching, Lifesciences, Business Strategy.

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