Jack Teitel

Jack Teitel has a diverse range of work experience in the field of data science and machine learning. Jack'smost recent role is as a Senior Machine Learning Scientist at Strong Analytics, where they serve as a project manager and technical lead for a team developing a computer vision system. Jack is responsible for building custom cameras, developing camera calibration systems, implementing sensor fusion, and designing metrics based on multi-object tracking. Jack also manages the project repository, conducts code reviews, tracks project timelines, assigns work responsibilities, and provides regular updates to stakeholders.

Prior to their current role, Jack worked as a Senior Data Scientist at Florida Blue and as a Lead Data Scientist at Strong Memorial Hospital Health Lab. In these positions, they led teams in developing machine learning solutions for clinical problems, collaborated with physicians on grant proposals and scientific papers, and possessed certification to retrieve data from Epic's EHR.

Jack also has experience as an Adjunct Professor at the University of Rochester, where they taught a graduate-level course on applying AI and deep learning to healthcare. Additionally, they served as a Research Associate at the University of Rochester, developing software to collect and analyze data from the Twitter API, and as a Research Intern at Ricoh Innovations Corporation, setting up a data capture infrastructure and analyzing Twitter data.

Overall, Jack's work experience demonstrates their expertise in machine learning, data analysis, project management, and collaboration with healthcare professionals.

Jack Teitel completed their Bachelor of Science (BS) degree in Applied Mathematics and Computer Science at the University of Rochester from 2012 to 2016. Jack then pursued a Master's degree in Data Science at the University of Rochester's Goergen Institute of Data Science from 2016 to 2017.