Davis Blalock

Davis Blalock has a diverse work experience that includes roles at MosaicML, Massachusetts Institute of Technology (MIT), Google, PocketSonics, INERTIA Research Group, and Levy Lab.

At MosaicML, they are currently a Research Scientist and the first employee. Davis'sresponsibilities involve conducting research to enhance deep learning and contributing to various tasks within the organization.

During their time at MIT as a Graduate Research Assistant from 2014 to 2020, Davis focused on building fast machine learning algorithms under the guidance of John Guttag. Davis'snotable achievement includes developing time series weakly supervised learning methods.

At Google, Davis worked as a Software Engineering PhD Intern in 2016. Davis was part of the Research & Machine Intelligence team, where they worked on extending Wide & Deep models to sequence data using TensorFlow. Davis also dealt with training and evaluating models on massive datasets through distributed computing infrastructure.

Davis gained valuable experience at PocketSonics as an Intern from 2010 to 2014. Davis'scontributions included working on the R&D team to develop a handheld ultrasound imaging device. Davis also played a significant role in creating a multicore C/C++ pipeline for real-time data processing and leading the development of the Android-based user interface.

As an Undergraduate Researcher at the INERTIA Research Group from 2012 to 2014, Davis focused on machine learning applied to IMU data from wearables. Davis also worked on Android development for interfacing with custom embedded systems.

Finally, Davis Blalock served as an Undergraduate Researcher at the Levy Lab in 2013.

Overall, Davis Blalock's work experience demonstrates a strong background in research, machine learning, software development, and interdisciplinary collaboration.

Davis Blalock earned a Bachelor of Science (BS) degree in Electrical Engineering and Cognitive Science from the University of Virginia. Subsequently, they pursued further studies at the Massachusetts Institute of Technology, where they completed a Master's (MS) and a Doctorate (PhD) degree in Computer Science.