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

C-CAP

Award winning Innovative multi-compartment capsule solution. Its modular design offers flexibility while its high potential comes from its simplicity; just an extra cap is filled and added to the lower end of a conventional hard or soft gelatin capsule.

OCHEM

Web-based platform to automate and simplify the QSAR modeling process. It uses advanced machine learning algorithms and a large number of donated descriptor packages from industry and academia. Developed by Helmholtz Zentrum München and eADMET GmbH.

MoCCA

MoCCA is a unified communication platform that was later acquired by Interdesigns to become a lead platform for SMS connectivity in the MENA region. The platform currently serves large IT enterprises and banks seeking secure and reliable connectivity with their audience.

Startups

Interdesigns

Full stack software development company. Established in 2006, Interdesigns continues to serve clients ranging from small SME to the Fortune 500.

eADMET

develops and markets innovative IT solutions for the prediction of important properties of chemicals and drugs, especially physical and PK/PD characteristics.

Rosettastein

Offers Data-driven consultancy in drug-discovery, modeling and business analytics. Experienced Data scientists and software developers support enterprise decision-making process.

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

    Name

    Email

    Message

    contact@amaziz.com

    (+49) 15776887277

    Goethestr. 2, 85354, Freising, Germany

    © 2015 Ahmed Sayed. All rights reserved. By : Interdesigns®

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