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 10+ years in areas of Information Technology and its applications for drug discovery and pharmacoinformatics.

More info

Culturally perspicacious manager who combines a distinctive blend of analytical and strategic capacity to expedite operational and technical planning; I managed public and investor-funded projects with funds in excess of €1 Mil and was acknowledged for a solid attention on delivery, practicality, commercial mindfulness and exceptional stakeholder management skills.

Played an integral role in corporate and team formation offering best practice execution, conducive to organizational development. Recognized for expertise in Pharmaceutical and Informatics Research and Development with an extensive scientific and technical training and several honors from prominent global bodies.

Experience

Experience

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

Services

Big Data mining

Including data scrapping, correcting data problems, data storage, modeling and interpretation. Machine Learning and Data Mining for business analytics, high-level modeling and simulation, forecasting and Data visualization.

Pharmacokinetics

Perform PK/PD study design, analysis, interpretation and reporting across preclinical and clinical studies (Phases 1 and 2) stages of drug development, from simple non-compartmental analyses (NCA) to customized models and simulations.

Cheminformatics

In silico modeling for drug discovery and vHTS screening, physicochemical and ADME/Tox property estimation using linear and non-linear QSPR/QSAR, model interpretation using MMPs and applicability domain assessment.

INT Management

Interim assignments for technology based projects (especially startups). Main focus in healthcare and Information technology. Coordination and planning of in house R&D activities as well as Technology transfer and licensing.

“The sciences do not try to explain, they hardly even try to interpret, they mainly make models. ”

Johann Von Neumann US (Hungarian-born) computer scientist, mathematician (1903 – 1957)

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Contact

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Email

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contact@amaziz.com

(+49) 15776887277

Goethestr. 2, 85354, Freising, Germany

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