AHMED SAYED

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... Best balanced accuracy for machine-learning predictive models in the NIT/NCATS TOX21 data challenge 2014

Primary location: Freising Germany