Model Medicines Announces Appointment of Steven Muskal, Ph.D. to its Advisory Board
Model Medicines is pleased to announce the appointment of Dr. Steven Muskal to its Advisory Board. Dr Muskal brings critical expertise in advanced drug discovery technologies including chem informatics, artificial intelligence and neural network computing, as well as biopharma business development, to Model Medicines.
Dr. Muskal has over 30 years of industry experience in research and development, marketing, and business development in the biopharmaceutical community. He is the Founder of Sertanty, and currently serves as the Chief Executive Officer of Eidogen-Sertanty, a privately held, venture backed technology company that offers structure based and ligand based drug design solutions to the Biopharmaceutical sector and serves most of the top firms in the industry.
Prior to founding Sertanty, Dr. Muskal served as Chief Technology Officer and Vice President of Informatics for Libraria, where he was responsible for fundraising and technology development. Before joining Libraria, Dr. Muskal served as Unit Director at the Affymax Research Institute and was a member of the Glaxo Wellcome Scientific Computing Board. At Affymax, he directed departments focusing on advanced drug discovery technologies in parallel synthesis, lead optimization (ADME), and research computing. Early in his career, Dr. Muskal held positions including Product Manager, Senior Scientist, and Applications Scientist at MDL Information Systems where he designed, developed, and marketed chemical informatics software.
Model Medicines Founder and Chief Technology Officer, Dr George Nicola, commented, “Dr. Muskal is one of the foremost minds in the creation and development of chem informatics, artificial intelligence and neural network computing platforms and products for the Biopharmaceutical industry. I look forward to leveraging Dr. Muskal’s substantial knowledge base to support Model Medicines AI Drug Discovery program.”
Dr. Muskal received his Doctorate in Biophysical Chemistry from the University of California, Berkeley (Thesis: Predicting features of protein structure with computer simulated neural networks) and his B.Sc. in Engineering Chemistry and Computer Science from the Colorado School of Mines.
