Adam Goldenberg

Adam Goldenberg has a diverse work experience in the field of machine learning and research. Adam began their career as an Undergraduate Researcher in Dr. John Markert's Electronics and Magnetic Materials Lab, where they focused on materials and electronics research. In 2018, they joined Dr. Shabani's Quantum Computing Lab as an Undergraduate Researcher under Dr. William Mayer.

In 2019, Adam worked as an Undergraduate Researcher in Dr. Davi Geiger's Machine Learning Research, where they explored machine learning clustering problems using quantum mechanics. Adam researched the concept of treating each data point as a wave and allowing for interference between points to find possible identification improvements.

Moving on, Adam joined Devron in 2020 as a Backend Machine Learning Engineer, where they developed privacy-preserving federated machine learning solutions. These solutions helped organizations process machine learning models without revealing or relocating their data, expanding machine learning improvements to markets with privacy requirements. Adam also designed a data storage solution to distribute machine learning models across multiple satellite sites.

From 2021 to 2022, Adam worked as a Machine Learning and Data Science Contractor for various startups. Their role involved applying their expertise in machine learning and data science on a contract basis.

Currently, Adam is employed at Accrete as a Machine Learning and Natural Language Processing Engineer since 2022.

Adam Goldenberg earned a Bachelor of Arts degree in Physics and Computer Science from New York University (NYU) from 2017 to 2019. Prior to that, they attended The University of Texas at Austin from 2015 to 2017, where they also pursued a Bachelor of Arts degree in Physics.