Ariel Schwartz, PhD
Ariel has over 20 years of professional experience in Data Science, Computational Biology, and Machine Learning. Ariel earned his B.Sc. in Information Systems Engineering (Summa Cum Laude) from the Technion, Israel Institute of Technology, and his Ph.D. in Computer Science from the University of California, Berkeley. His first hands-on experience with data analysis was in his role as an IDF intelligence officer, and later as an Information Systems Engineer at Intel Corp., where he developed decision support systems for project and resource management. At UC Berkeley, he got interested in the computational biology field, through his research work with Prof. Marti Hearst on text mining algorithms for biomedical text, and later on he devoted his Ph.D. thesis to probabilistic algorithms for biological sequence analysis working with Profs. Gene Myers and Lior Pachter. As a postdoctoral scholar in the Ideker lab at UCSD, Ariel worked on protein-protein interaction mapping strategies, and tissue-specific transcription factor network analysis. Moving back to industry, Ariel joined Synthetic Genomics Inc. (SGI) in 2008, where he spent ten years leading the adoption of the then emerging Next Generation Sequencing technologies, helping to advance large research projects using integrated genomics approaches with diverse application, including algal biofuels, microbial solutions for agriculture, organ xenotransplantation, phage engineering, and more. In his role as the Director of Computational Biology, he recruited, developed, and managed a highly skilled group of Ph.D. level computational biology scientists, promoting a culture of innovation, engagement, collaboration, integrity and respect.