Michael Landis is a seasoned software engineer and data scientist with extensive experience in natural language processing (NLP) and predictive modeling. Currently employed at Momento since May 2022, Michael previously held key roles at Elsevier, including Principal Data Scientist, where responsibilities included leading the development of a globally impactful entity linking system. Michael’s accomplishments also encompass significant advancements in named entity recognition (NER) systems and automation of parsing tasks, yielding substantial improvements in accuracy and operational cost savings. With a solid foundation in computer science and linguistics obtained from UC San Diego, Michael's career reflects a deep commitment to driving innovation in healthcare technology through advanced algorithm and software development.
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