Dr. Ahmed Sayed

Data Scientist, Cheminformatian and Pharmacokineticist

Pharmaceutical and Informatics business executive
enjoying 10+ years’ advancement.

About

About Me

A full stack data scientist and web developer / researcher in the field of predictive toxicology and machine learning. My experience as a data scientist is mostly in the field of chemoinformatics / QSAR – machine learning and data mining analysis of chemical, pharmaceutical and genomics data. Multiple peer-reviewed work in integration of  in vitro assay data with in silico descriptors and development of machine learning models to predict physico-chemical and toxicological and target-affinity properties of small molecules.

As an executive, I co-founded multiple successful startups for 17+ years in areas of Information Technology, machine learning, data analytics and its applications for drug discovery and pharmacoinformatics.

More info

Combines expertise in machine learning and data analytics with a solid scientific background. Acknowledged for solid attention on delivery, practicality, commercial mindfulness and building exceptional stakeholder value. Experienced leading projects with budgets in excess of €10M. Vibrant communication skills include fluency in English with proficiency in German. Holds PhD in machine learning and MBA in innovation management.

Experience

Experience

Amazon Web Services (AWS)

2018 – Present

Rosettastein Consulting

2015 – Present

Consultant

eADMET GmbH

2011 – 2015

Chief Commercial Officer (2011-2012) Managing Director (2013-2015)

Helmholtz-Zentrum München

2010 – 2013

FP7 Marie-Curie fellow researcher

Institute of Bioinformatics and Systems Biology (IBIS) (2010-2011)

Institute of Structural Biology (STB) (2012-2013)

German University in Cairo (GUC)

2006 – 2010

Teaching & Research Assistant

Physical & Organic Chemistry, Computer aided Drug Design

Solutions Consulting Group, Cairo

2006

Market researcher, Business consultant

Awards

    • Best balanced accuracy for machine-learning predictive models in the NIT/NCATS TOX21 data challenge 2014
    • TUM Graduate school scholarship for the executive MBA studies in innovation and business creation
    • FP7 Marie-Curie fellowship for the environmental Chemoinformatics project (2010-2013)
    • Best Industrial contribution for 2009 by FIP (International pharmaceutical Federation)
    • Semi-finalist in California Berkeley technology entrepreneurship competition 2008. (Intel+ UC Berkeley Technology entrepreneurship challenge)
    • First place in the “3rd Arab Technology Business plan competition” by ASTF (Arab science and Technology Foundation) (Morocco, October 2008)
    • IEEE Egypt Gold Award for (Made in Egypt) competition
    • 2nd Arab Technology Business plan competition Finalist (Jordan, December 2007)
    • Technology Development Fund Business plan competition Finalist (July 2007)

Skills

Publications

Peer-reviewed publications

Talks and invited lectures

Work

Projects

Startups

Contact

    Name

    Email

    Message

    contact@amaziz.com

    (+49) 15776887277

    Goethestr. 2, 85354, Freising, Germany

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