Mark Romanowsky is a highly experienced machine learning engineer currently serving as a Staff Machine Learning Engineer at DataRobot since March 2019, focusing on model explainability and trust. Notable achievements include leading projects to enhance SHAP explanations and contributing to innovations such as automatic bias mitigation in binary classification models. Prior roles included Principal Engineer at Fluid-Screen, Senior Microfluidics Engineer at Bio-Rad Laboratories, and R&D Scientist at E Ink Corporation, where Mark conducted advanced research and development in various engineering fields. Mark's academic credentials include a Ph.D. in Physics from Harvard University and a B.A. in Physics and Mathematics from Swarthmore College, complemented by two patents and multiple contributions to model explainability through webinars and public presentations.
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