Jeremy Lopez
About Jeremy Lopez
Jeremy Lopez is a Machine Learning Engineer at Kensho Technologies, where he has worked since 2018. He has a strong academic background in physics, holding a Ph.D. from the Massachusetts Institute of Technology and a B.A. from Columbia University, along with extensive experience in research roles at prestigious institutions.
Work at Kensho Technologies
Jeremy Lopez has been employed at Kensho Technologies as a Machine Learning Engineer since 2018. In this role, he has contributed to various projects, including the development of Kensho Scribe, which focuses on transforming audio into structured transcripts. His work involves applying machine learning techniques and data science to enhance the functionality of the platform. Additionally, he has played a significant role in building new search engines for S&P's platforms, improving data retrieval capabilities.
Education and Expertise
Jeremy Lopez holds a Bachelor of Arts (B.A.) in Physics from Columbia University, where he studied from 2004 to 2008. He furthered his education at the Massachusetts Institute of Technology (MIT), earning a Doctor of Philosophy (Ph.D.) in Experimental Particle Physics from 2008 to 2013. His academic background provides a strong foundation in analytical skills and scientific methods, which he applies in his current role in machine learning.
Background
Jeremy Lopez has a diverse professional background in research and engineering. He worked as a Graduate Research Assistant at the Massachusetts Institute of Technology from 2008 to 2013, followed by a position as a Research Associate at the University of Colorado Boulder from 2013 to 2018. He also gained experience as a Graduate Teaching Assistant at MIT in 2012 and as an Undergraduate Research Assistant at Columbia University from 2006 to 2007.
Technical Skills and Tools
In his role as a Machine Learning Engineer, Jeremy Lopez utilizes a variety of data analysis tools, including PyTorch, scikit-learn, and pandas. He employs engineering tools such as Elasticsearch, Redis, and PostgreSQL to support his projects. His background in C++ and the ROOT analysis toolkit from his academic work in particle physics further enhances his technical capabilities in data analysis and machine learning.