Jay Baxter

Jay Baxter is a highly skilled individual with expertise in Machine Learning, Deep Learning, Bayesian Statistics, Algorithms, and Distributed Systems.

His educational background includes a Master of Engineering (MEng) in Electrical Engineering and Computer Science with a perfect 5.0 GPA, as well as a Bachelor of Science (BS) in Computer Science and Engineering with a GPA of 4.8, both from the prestigious Massachusetts Institute of Technology. He also completed his high school education at Menlo School.

Jay has held various significant positions in renowned organizations, including being a Staff Machine Learning Engineer at Twitter. Previously, he worked as a Software Engineering Intern focusing on Machine Learning at Diffeo, and as the BayesDB Lead Developer at the Probabilistic Computation Project at MIT CSAIL during his time as an MEng student. Jay's experience also includes internships at Palantir Technologies, Google, Numenta, and Elastic Intelligence. He has contributed as an Undergraduate Researcher at MIT Media Lab and as a Volunteer Archivist at the Computer History Museum.